(WIP) Base for Java docs (#125)

* Base for Java docs

* docs(java): Migrate Java-SDK/docs

Add visual documentation for Java SDK architecture:

- PlantUML class diagrams showing core components and relationships
- Client and server architecture diagrams
- Stack architecture overview
- Generated UML class diagram with detailed implementation structure

* Add Java Client and Server quickstarts

* reorder, redact, correct java-sdk docs

Signed-off-by: Dariusz Jędrzejczyk <dariusz.jedrzejczyk@broadcom.com>

* updated updates.mdx

* fix docs.json

---------

Signed-off-by: Dariusz Jędrzejczyk <dariusz.jedrzejczyk@broadcom.com>
Co-authored-by: Christian Tzolov <christian.tzolov@broadcom.com>
Co-authored-by: Dariusz Jędrzejczyk <dariusz.jedrzejczyk@broadcom.com>
Co-authored-by: David Soria Parra <davidsp@anthropic.com>
This commit is contained in:
Zachary Lee 2025-02-14 09:43:35 -05:00 • committed by GitHub
commit 904083c681
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GPG key ID: B5690EEEBB952194
13 changed files with 1780 additions and 5 deletions

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@ -3,6 +3,18 @@ title: "What's New"
description: 'The latest updates and improvements to MCP'
---
<Update label="2025-02-07" description="Java SDK released">
- We're excited to announce that the Java SDK developed by Spring AI at VMware Tanzu is now
the official [Java SDK](https://github.com/modelcontextprotocol/java-sdk) for MCP.
This joins our existing Kotlin SDK in our growing list of supported languages.
The Spring AI team will maintain the SDK as an integral part of the Model Context Protocol
organization. We're thrilled to welcome them to the MCP community!
</Update>
<Update label="2025-01-27" description="Python SDK 1.2.1">
- Version [1.2.1](https://github.com/modelcontextprotocol/python-sdk/releases/tag/v1.2.1) of the MCP Python SDK has been released,
delivering important stability improvements and bug fixes.
</Update>
<Update label="2025-01-18" description="SDK and Server Improvements">
- Simplified, express-like API in the [TypeScript SDK](https://github.com/modelcontextprotocol/typescript-sdk)
- Added 8 new clients to the [clients page](https://modelcontextprotocol.io/clients)
@ -16,4 +28,4 @@ description: 'The latest updates and improvements to MCP'
<Update label="2024-12-21" description="Kotlin SDK released">
- Jetbrains released a Kotlin SDK for MCP!
- For a sample MCP Kotlin server, check out [this repository](https://github.com/modelcontextprotocol/kotlin-sdk/tree/main/samples/kotlin-mcp-server)
</Update>
</Update>

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@ -9,10 +9,9 @@
},
"favicon": "/favicon.svg",
"navigation": {
"anchors": [
"tabs": [
{
"anchor": "Documentation",
"icon": "book-open",
"tab": "Documentation",
"groups": [
{
"group": "Get Started",
@ -59,6 +58,20 @@
]
}
]
},
{
"tab": "SDKs",
"icon": "book-open",
"groups": [
{
"group": "Java",
"pages": [
"sdk/java/mcp-overview",
"sdk/java/mcp-client",
"sdk/java/mcp-server"
]
}
]
}
],
"global": {

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@ -0,0 +1,282 @@
@startuml Core Components
' Core Interfaces
interface McpTransport {
+Mono<Void> connect(Function<Mono<JSONRPCMessage>, Mono<JSONRPCMessage>> handler)
+Mono<Void> sendMessage(JSONRPCMessage message)
+void close()
+Mono<Void> closeGracefully()
+<T> T unmarshalFrom(Object data, TypeReference<T> typeRef)
}
interface McpSession {
+<T> Mono<T> sendRequest(String method, Object requestParams, TypeReference<T> typeRef)
+Mono<Void> sendNotification(String method, Map<String, Object> params)
+Mono<Void> closeGracefully()
+void close()
}
' Core Implementation Classes
class DefaultMcpSession {
+interface RequestHandler
+interface NotificationHandler
}
' Client Classes
class McpClient {
+{static} Builder using(ClientMcpTransport transport)
}
class McpAsyncClient {
+Mono<InitializeResult> initialize()
+ServerCapabilities getServerCapabilities()
+Implementation getServerInfo()
+ClientCapabilities getClientCapabilities()
+Implementation getClientInfo()
+void close()
+Mono<Void> closeGracefully()
+Mono<Object> ping()
+Mono<Void> addRoot(Root root)
+Mono<Void> removeRoot(String rootUri)
+Mono<Void> rootsListChangedNotification()
+Mono<CallToolResult> callTool(CallToolRequest request)
+Mono<ListToolsResult> listTools()
+Mono<ListResourcesResult> listResources()
+Mono<ReadResourceResult> readResource(ReadResourceRequest request)
+Mono<ListResourceTemplatesResult> listResourceTemplates()
+Mono<Void> subscribeResource(SubscribeRequest request)
+Mono<Void> unsubscribeResource(UnsubscribeRequest request)
+Mono<ListPromptsResult> listPrompts()
+Mono<GetPromptResult> getPrompt(GetPromptRequest request)
+Mono<Void> setLoggingLevel(LoggingLevel level)
}
class McpSyncClient {
+InitializeResult initialize()
+ServerCapabilities getServerCapabilities()
+Implementation getServerInfo()
+ClientCapabilities getClientCapabilities()
+Implementation getClientInfo()
+void close()
+boolean closeGracefully()
+Object ping()
+void addRoot(Root root)
+void removeRoot(String rootUri)
+void rootsListChangedNotification()
+CallToolResult callTool(CallToolRequest request)
+ListToolsResult listTools()
+ListResourcesResult listResources()
+ReadResourceResult readResource(ReadResourceRequest request)
+ListResourceTemplatesResult listResourceTemplates()
+void subscribeResource(SubscribeRequest request)
+void unsubscribeResource(UnsubscribeRequest request)
+ListPromptsResult listPrompts()
+GetPromptResult getPrompt(GetPromptRequest request)
+void setLoggingLevel(LoggingLevel level)
}
' Server Classes
class McpServer {
+{static} Builder using(ServerMcpTransport transport)
}
class McpAsyncServer {
+ServerCapabilities getServerCapabilities()
+Implementation getServerInfo()
+ClientCapabilities getClientCapabilities()
+Implementation getClientInfo()
+void close()
+Mono<Void> closeGracefully()
' Tool Management
+Mono<Void> addTool(ToolRegistration toolRegistration)
+Mono<Void> removeTool(String toolName)
+Mono<Void> notifyToolsListChanged()
' Resource Management
+Mono<Void> addResource(ResourceRegistration resourceHandler)
+Mono<Void> removeResource(String resourceUri)
+Mono<Void> notifyResourcesListChanged()
' Prompt Management
+Mono<Void> addPrompt(PromptRegistration promptRegistration)
+Mono<Void> removePrompt(String promptName)
+Mono<Void> notifyPromptsListChanged()
' Logging
+Mono<Void> loggingNotification(LoggingMessageNotification notification)
' Sampling
+Mono<CreateMessageResult> createMessage(CreateMessageRequest request)
}
class McpSyncServer {
+McpAsyncServer getAsyncServer()
+ServerCapabilities getServerCapabilities()
+Implementation getServerInfo()
+ClientCapabilities getClientCapabilities()
+Implementation getClientInfo()
+void close()
+void closeGracefully()
' Tool Management
+void addTool(ToolRegistration toolHandler)
+void removeTool(String toolName)
+void notifyToolsListChanged()
' Resource Management
+void addResource(ResourceRegistration resourceHandler)
+void removeResource(String resourceUri)
+void notifyResourcesListChanged()
' Prompt Management
+void addPrompt(PromptRegistration promptRegistration)
+void removePrompt(String promptName)
+void notifyPromptsListChanged()
' Logging
+void loggingNotification(LoggingMessageNotification notification)
' Sampling
+CreateMessageResult createMessage(CreateMessageRequest request)
}
' Transport Implementations
class StdioClientTransport implements ClientMcpTransport {
+void setErrorHandler(Consumer<String> errorHandler)
+Sinks.Many<String> getErrorSink()
}
class StdioServerTransport implements ServerMcpTransport {
}
class HttpServletSseServerTransport implements ServerMcpTransport {
}
class HttpClientSseClientTransport implements ClientMcpTransport {
}
class WebFluxSseClientTransport implements ClientMcpTransport {
}
class WebFluxSseServerTransport implements ServerMcpTransport {
+RouterFunction<?> getRouterFunction()
}
class WebMvcSseServerTransport implements ServerMcpTransport {
+RouterFunction<?> getRouterFunction()
}
' Schema and Error Classes
class McpSchema {
+class ErrorCodes
+interface Request
+interface JSONRPCMessage
+interface ResourceContents
+interface Content
+interface ServerCapabilities
+{static} JSONRPCMessage deserializeJsonRpcMessage()
}
class McpError {
}
' Relationships
McpTransport <|.. ClientMcpTransport
McpTransport <|.. ServerMcpTransport
McpSession <|.. DefaultMcpSession
DefaultMcpSession --o McpAsyncClient
DefaultMcpSession --o McpAsyncServer
McpClient ..> McpAsyncClient : creates
McpClient ..> McpSyncClient : creates
McpSyncClient --> McpAsyncClient : delegates to
McpServer ..> McpAsyncServer : creates
McpServer ..> McpSyncServer : creates
McpSyncServer o-- McpAsyncServer
DefaultMcpSession o-- McpTransport
McpSchema <.. McpSession : uses
McpError ..> McpSession : throws
@enduml
@startuml Message Flow
package "MCP Schema" {
interface JSONRPCMessage {
+String jsonrpc()
}
interface Request {
}
class InitializeRequest
class CallToolRequest
class ListToolsRequest
class ListResourcesRequest
class ReadResourceRequest
class ListResourceTemplatesRequest
class ListPromptsRequest
class GetPromptRequest
}
package "Resource Types" {
interface ResourceContents {
+String uri()
+String mimeType()
}
class TextResourceContents
class BlobResourceContents
interface Content {
+String type()
}
class TextContent
class ImageContent
class EmbeddedResource
interface Annotated {
+Annotations annotations()
}
interface PromptOrResourceReference {
+String type()
}
class PromptReference
class ResourceReference
}
JSONRPCMessage <|.. Request
Request <|.. InitializeRequest
Request <|.. CallToolRequest
Request <|.. ListToolsRequest
Request <|.. ListResourcesRequest
Request <|.. ReadResourceRequest
Request <|.. ListResourceTemplatesRequest
Request <|.. ListPromptsRequest
Request <|.. GetPromptRequest
ResourceContents <|.. TextResourceContents
ResourceContents <|.. BlobResourceContents
Content <|.. TextContent
Content <|.. ImageContent
Content <|.. EmbeddedResource
PromptOrResourceReference <|.. PromptReference
PromptOrResourceReference <|.. ResourceReference
@enduml

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@ -3,7 +3,7 @@ title: Introduction
description: 'Get started with the Model Context Protocol (MCP)'
---
<Note>Kotlin SDK released! Check out [what else is new.](/development/updates)</Note>
<Note>Java SDK released! Check out [what else is new.](/development/updates)</Note>
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

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@ -401,6 +401,120 @@ If you see:
</Tab>
<Tab title="Java">
<Note>
This is a quickstart demo based on Spring AI MCP auto-configuraiton and boot starters.
To learn how to create sync and async McpClients programatically consult the [Java SDK Client guid](TODO: add URL)
</Note>
This example demonstrates how to build an interactive chatbot that combines Spring AI's Model Context Protocol (MCP) with the [Brave Search MCP Server](https://github.com/modelcontextprotocol/servers/tree/main/src/brave-search). The application creates a conversational interface powered by Anthropic's Claude AI model that can perform internet searches through Brave Search, enabling natural language interactions with real-time web data.
[You can find the complete code for this tutorial here.](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/brave-chatbot)
## System Requirements
Before starting, ensure your system meets these requirements:
- Java 17 or higher
- Maven 3.6+
- npx package manager
- Anthropic API key (Claude)
- Brave Search API key
## Setting Up Your Environment
1. Install npx (Node Package eXecute):
First, make sure to install [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm)
and then run:
```bash
npm install -g npx
```
2. Clone the repository:
```bash
git clone https://github.com/spring-projects/spring-ai-examples.git
cd model-context-protocol/brave-chatbot
```
3. Set up your API keys:
```bash
export ANTHROPIC_API_KEY='your-anthropic-api-key-here'
export BRAVE_API_KEY='your-brave-api-key-here'
```
4. Build the application:
```bash
./mvnw clean install
```
5. Run the application using Maven:
```bash
./mvnw spring-boot:run
```
<Warning>
Make sure you keep your `ANTHROPIC_API_KEY` and `BRAVE_API_KEY` keys secure!
</Warning>
## How it Works
The application integrates Spring AI with the Brave Search MCP server through several components:
### MCP Client Configuration
1. Required dependencies in pom.xml:
```xml
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-anthropic-spring-boot-starter</artifactId>
</dependency>
```
2. Application properties (application.properties):
```properties
spring.ai.mcp.client.stdio.enabled=true
spring.ai.mcp.client.stdio.servers-configuration=classpath:/mcp-servers-config.json
spring.ai.anthropic.api-key=${ANTHROPIC_API_KEY}
```
This acivates the `spring-ai-mcp-spring-boot-starter` to create one or more `McpClient`s based on the provided server configuration.
3. MCP Server Configuration (mcp-servers-config.json):
```json
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-brave-search"
],
"env": {
"BRAVE_API_KEY": "<PUT YOUR BRAVE API KEY>"
}
}
}
}
```
### Chat Implementation
The chatbot is implemented using Spring AI's ChatClient with MCP tool integration:
```java
var chatClient = chatClientBuilder
.defaultSystem("You are useful assistant, expert in AI and Java.")
.defaultTools((Object[]) mcpToolAdapter.toolCallbacks())
.defaultAdvisors(new MessageChatMemoryAdvisor(new InMemoryChatMemory()))
.build();
```
</Tab>
</Tabs>
## Next steps

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@ -739,6 +739,305 @@ This tells Claude for Desktop:
2. Launch it by running `node /ABSOLUTE/PATH/TO/PARENT/FOLDER/weather/build/index.js`
Save the file, and restart **Claude for Desktop**.
</Tab>
<Tab title='Java'>
Let's get started with building our weather server!
[You can find the complete code for what we'll be building here.](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/mcp-weather-server-quickstart)
### System requirements
- Java 17 or higher installed.
- [Spring Boot 3.4](https://docs.spring.io/spring-boot/installing.html) or higher
### Set up your environment
Use the [Spring Initizer](https://start.spring.io/) to bootstrat a the [application skeleton](https://start.spring.io/#!type=maven-project&language=java&platformVersion=3.4.2&packaging=jar&jvmVersion=17&groupId=com.example.mcp.server&artifactId=weather&name=weather&description=Demo%20project%20for%20Spring%20Boot&packageName=com.example.mcp.server.weather&dependencies=spring-ai-anthropic,webflux).
You will need to add the following dependencies:
<Tabs>
<Tab title="Maven">
```xml
<dependencies>
<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-mcp-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
</dependency>
</dependencies>
```
</Tab>
<Tab title="Gradle">
```groovy
dependencies {
implementation platform("org.springframework.ai:spring-ai-mcp-spring-boot-starter")
implementation platform("org.springframework:spring-web")
implementation platform("org.springframework.boot:spring-boot-starter")
}
```
</Tab>
</Tabs>
Then configure your application by setting the applicaiton properties:
<CodeGroup>
```bash application.properties
spring.main.bannerMode=off
logging.pattern.console=
spring.ai.mcp.server.enabled=true
```
```yaml application.yml
logging:
pattern:
console:
spring:
main:
banner-mode: off
ai:
mcp:
server:
enabled: true
```
</CodeGroup>
Now let's dive into building your server.
## Building your server
### Weather Service
Let's implement a weather service that uses a REST client to query the data from the National Weather Service API:
```java
@Service
public class WeatherService {
private final RestClient restClient;
public WeatherService() {
this.restClient = RestClient.builder()
.baseUrl("https://api.weather.gov")
.defaultHeader("Accept", "application/geo+json")
.defaultHeader("User-Agent", "WeatherApiClient/1.0 (your@email.com)")
.build();
}
public record Points(Props properties) {
public record Props(String forecast) { }
}
public record Forecast(Props properties) {
public record Props(List<Period> periods) {}
public record Period(Integer number, String name, String startTime, String endTime, Boolean isDayTime, Integer temperature, String temperatureUnit, String temperatureTrend, Map probabilityOfPrecipitation, String windSpeed, String windDirection, String icon, String shortForecast, String detailedForecast) {}
}
public record Alert(List<Feature> features) {
public record Feature(Properties properties) {}
public record Properties(String event, String areaDesc, String severity, String description, String instruction) {}
}
// ......
}
```
The `@Service` annotation with auto-register the service in your applicaiton context.
### Implementing tool execution
The tool execution handler is responsible for actually executing the logic of each tool.
The Spring AI `@Tool` annotation, making it easy to create and maintain MCP tools:
```java
@Tool(description = "Get weather forecast for a specific latitude/longitude")
public String getWeatherForecastByLocation(double latitude, double longitude) {
var points = restClient.get()
.uri("/points/{latitude},{longitude}", latitude, longitude)
.retrieve()
.body(Points.class);
var forecast = restClient.get().uri(points.properties().forecast()).retrieve().body(Forecast.class);
String forecastText = forecast.properties().periods().stream().map(p -> {
return String.format("""
%s:
Temperature: %s %s
Wind: %s %s
Forecast: %s
""", p.name(), p.temperature(), p.temperatureUnit(), p.windSpeed(), p.windDirection(),
p.detailedForecast());
}).collect(Collectors.joining());
return forecastText;
}
@Tool(description = "Get weather alerts for a US state. Input is Two-letter US state code (e.g. CA, NY)")
public String getAlerts(String state) {
Alert alert = restClient.get().uri("/alerts/active/area/{state}", state).retrieve().body(Alert.class);
return alert.features()
.stream()
.map(f -> String.format("""
Event: %s
Area: %s
Severity: %s
Description: %s
Instructions: %s
""", f.properties().event(), f.properties.areaDesc(), f.properties.severity(),
f.properties.description(), f.properties.instruction()))
.collect(Collectors.joining("\n"));
}
```
### Build your Boot Applicaiton
```java
@SpringBootApplication
public class McpServerApplication {
public static void main(String[] args) {
SpringApplication.run(McpServerApplication.class, args);
}
@Bean
public List<ToolCallback> weatherTools(WeatherService weatherService) {
return List.of(ToolCallbacks.from(weatherService));
}
}
```
Uses the the `ToolCallbacks.from(...)` utils to convert the `@Tools` into actionalble callbackes used by the MCP server.
### Running the server
Finally, let's build and run the server:
```bash
./mvnw clean install
java -jar model-context-protocol/mcp-weather-server-quickstart/target/mcp-weather-server-quickstart-0.0.1-SNAPSHOT.jar
```
Let's now test your server from an existing MCP host, Claude for Desktop.
## Testing your server with Claude for Desktop
<Note>
Claude for Desktop is not yet available on Linux. Linux users can proceed to the [Building a client](/quickstart/client) tutorial to build an MCP client that connects to the server we just built.
</Note>
First, make sure you have Claude for Desktop installed. [You can install the latest version
here.](https://claude.ai/download) If you already have Claude for Desktop, **make sure it's updated to the latest version.**
We'll need to configure Claude for Desktop for whichever MCP servers you want to use. To do this, open your Claude for Desktop App configuration at `~/Library/Application Support/Claude/claude_desktop_config.json` in a text editor. Make sure to create the file if it doesn't exist.
For example, if you have [VS Code](https://code.visualstudio.com/) installed:
<Tabs>
<Tab title="MacOS/Linux">
```bash
code ~/Library/Application\ Support/Claude/claude_desktop_config.json
```
</Tab>
<Tab title="Windows">
```powershell
code $env:AppData\Claude\claude_desktop_config.json
```
</Tab>
</Tabs>
You'll then add your servers in the `mcpServers` key. The MCP UI elements will only show up in Claude for Desktop if at least one server is properly configured.
In this case, we'll add our single weather server like so:
<Tabs>
<Tab title="MacOS/Linux">
```json java
{
"mcpServers": {
"spring-ai-mcp-weather": {
"command": "java",
"args": [
"-Dspring.ai.mcp.server.transport=STDIO",
"-jar",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp-weather-server-quickstart-0.0.1-SNAPSHOT.jar"
]
}
}
}
```
</Tab>
<Tab title="Windows">
```json java
{
"mcpServers": {
"spring-ai-mcp-weather": {
"command": "java",
"args": [
"-Dspring.ai.mcp.server.transport=STDIO",
"-jar",
"C:\\ABSOLUTE\\PATH\\TO\\PARENT\\FOLDER\\weather\\mcp-weather-server-quickstart-0.0.1-SNAPSHOT.jar"
]
}
}
}
```
</Tab>
</Tabs>
<Note>
Make sure you pass in the absolute path to your server.
</Note>
This tells Claude for Desktop:
1. There's an MCP server named "my-weather-server"
2. To launch it by running `java -jar /ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp-weather-server-quickstart-0.0.1-SNAPSHOT.jar`
Save the file, and restart **Claude for Desktop**.
## Testing your server with Java client
Use the `McpClient` to connect to the server:
```java
var stdioParams = ServerParameters.builder("java")
.args("-jar", "/ABSOLUTE/PATH/TO/PARENT/FOLDER/mcp-weather-server-quickstart-0.0.1-SNAPSHOT.jar")
.build();
var stdioTransport = new StdioClientTransport(stdioParams);
var mcpClient = McpClient.sync(stdioTransport).build();
mcpClient.initialize();
ListToolsResult toolsList = mcpClient.listTools();
CallToolResult weather = mcpClient.callTool(
new CallToolRequest("getWeatherForecastByLocation",
Map.of("latitude", "47.6062", "longitude", "-122.3321")));
CallToolResult alert = mcpClient.callTool(
new CallToolRequest("getAlerts", Map.of("state", "NY")));
mcpClient.closeGracefully();
```
## More Java MCP Server examples
The [mcp-webflux-server-starter](https://github.com/spring-projects/spring-ai-examples/tree/main/model-context-protocol/mcp-webflux-server-starter) demonstrates how to create a MCP server using SSE transport.
It showcases how to define and register MCP Tools, Resources, and Prompts, using the Spring Boot's auto-configuration capabilities.
</Tab>
</Tabs>

322
sdk/java/mcp-client.mdx Normal file
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@ -0,0 +1,322 @@
---
title: MCP Client
description: Learn how to use the Model Context Protocol (MCP) client to interact with MCP servers
---
# Model Context Protocol Client
The MCP Client is a key component in the Model Context Protocol (MCP) architecture, responsible for establishing and managing connections with MCP servers. It implements the client-side of the protocol, handling:
- Protocol version negotiation to ensure compatibility with servers
- Capability negotiation to determine available features
- Message transport and JSON-RPC communication
- Tool discovery and execution
- Resource access and management
- Prompt system interactions
- Optional features like roots management and sampling support
The client provides both synchronous and asynchronous APIs for flexibility in different application contexts.
<Tabs>
<Tab title="Sync API">
```java
// Create a sync client with custom configuration
McpSyncClient client = McpClient.sync(transport)
.requestTimeout(Duration.ofSeconds(10))
.capabilities(ClientCapabilities.builder()
.roots(true) // Enable roots capability
.sampling() // Enable sampling capability
.build())
.sampling(request -> new CreateMessageResult(response))
.build();
// Initialize connection
client.initialize();
// List available tools
ListToolsResult tools = client.listTools();
// Call a tool
CallToolResult result = client.callTool(
new CallToolRequest("calculator",
Map.of("operation", "add", "a", 2, "b", 3))
);
// List and read resources
ListResourcesResult resources = client.listResources();
ReadResourceResult resource = client.readResource(
new ReadResourceRequest("resource://uri")
);
// List and use prompts
ListPromptsResult prompts = client.listPrompts();
GetPromptResult prompt = client.getPrompt(
new GetPromptRequest("greeting", Map.of("name", "Spring"))
);
// Add/remove roots
client.addRoot(new Root("file:///path", "description"));
client.removeRoot("file:///path");
// Close client
client.closeGracefully();
```
</Tab>
<Tab title="Async API">
```java
// Create an async client with custom configuration
McpAsyncClient client = McpClient.async(transport)
.requestTimeout(Duration.ofSeconds(10))
.capabilities(ClientCapabilities.builder()
.roots(true) // Enable roots capability
.sampling() // Enable sampling capability
.build())
.sampling(request -> Mono.just(new CreateMessageResult(response)))
.toolsChangeConsumer(tools -> Mono.fromRunnable(() -> {
logger.info("Tools updated: {}", tools);
}))
.resourcesChangeConsumer(resources -> Mono.fromRunnable(() -> {
logger.info("Resources updated: {}", resources);
}))
.promptsChangeConsumer(prompts -> Mono.fromRunnable(() -> {
logger.info("Prompts updated: {}", prompts);
}))
.build();
// Initialize connection and use features
client.initialize()
.flatMap(initResult -> client.listTools())
.flatMap(tools -> {
return client.callTool(new CallToolRequest(
"calculator",
Map.of("operation", "add", "a", 2, "b", 3)
));
})
.flatMap(result -> {
return client.listResources()
.flatMap(resources ->
client.readResource(new ReadResourceRequest("resource://uri"))
);
})
.flatMap(resource -> {
return client.listPrompts()
.flatMap(prompts ->
client.getPrompt(new GetPromptRequest(
"greeting",
Map.of("name", "Spring")
))
);
})
.flatMap(prompt -> {
return client.addRoot(new Root("file:///path", "description"))
.then(client.removeRoot("file:///path"));
})
.doFinally(signalType -> {
client.closeGracefully().subscribe();
})
.subscribe();
```
</Tab>
</Tabs>
## Client Transport
The transport layer handles the communication between MCP clients and servers, providing different implementations for various use cases. The client transport manages message serialization, connection establishment, and protocol-specific communication patterns.
<Tabs>
<Tab title="STDIO">
Creates transport for in-process based communication
```java
ServerParameters params = ServerParameters.builder("npx")
.args("-y", "@modelcontextprotocol/server-everything", "dir")
.build();
McpTransport transport = new StdioClientTransport(params);
```
</Tab>
<Tab title="SSE (HttpClient)">
Creates a framework agnostic (pure Java API) SSE client transport. Included in the core mcp module.
```java
McpTransport transport = new HttpClientSseClientTransport("http://your-mcp-server");
```
</Tab>
<Tab title="SSE (WebFlux)">
Creates WebFlux-based SSE client transport. Requires the mcp-webflux-sse-transport dependency.
```java
WebClient.Builder webClientBuilder = WebClient.builder()
.baseUrl("http://your-mcp-server");
McpTransport transport = new WebFluxSseClientTransport(webClientBuilder);
```
</Tab>
</Tabs>
## Client Capabilities
The client can be configured with various capabilities:
```java
var capabilities = ClientCapabilities.builder()
.roots(true) // Enable filesystem roots support with list changes notifications
.sampling() // Enable LLM sampling support
.build();
```
### Roots Support
Roots define the boundaries of where servers can operate within the filesystem:
```java
// Add a root dynamically
client.addRoot(new Root("file:///path", "description"));
// Remove a root
client.removeRoot("file:///path");
// Notify server of roots changes
client.rootsListChangedNotification();
```
The roots capability allows servers to:
- Request the list of accessible filesystem roots
- Receive notifications when the roots list changes
- Understand which directories and files they have access to
### Sampling Support
Sampling enables servers to request LLM interactions ("completions" or "generations") through the client:
```java
// Configure sampling handler
Function<CreateMessageRequest, CreateMessageResult> samplingHandler = request -> {
// Sampling implementation that interfaces with LLM
return new CreateMessageResult(response);
};
// Create client with sampling support
var client = McpClient.sync(transport)
.capabilities(ClientCapabilities.builder()
.sampling()
.build())
.sampling(samplingHandler)
.build();
```
This capability allows:
- Servers to leverage AI capabilities without requiring API keys
- Clients to maintain control over model access and permissions
- Support for both text and image-based interactions
- Optional inclusion of MCP server context in prompts
## Using MCP Clients
### Tool Execution
Tools are server-side functions that can be discovered and executed by clients. The client provides methods to list available tools and execute them with parameters.
<Tabs>
<Tab title="Sync API">
```java
// List available tools
var tools = client.listTools();
tools.forEach(tool -> System.out.println(tool.getName()));
// Execute a tool
var result = client.callTool("calculator", Map.of(
"operation", "add",
"a", 1,
"b", 2
));
```
</Tab>
<Tab title="Async API">
```java
// List available tools
client.listTools()
.doOnNext(tools -> tools.forEach(tool ->
System.out.println(tool.getName())))
.subscribe();
// Execute a tool
client.callTool("calculator", Map.of(
"operation", "add",
"a", 1,
"b", 2
))
.subscribe();
```
</Tab>
</Tabs>
### Resource Access
Resources are server-side data sources that can be accessed by clients using URI templates. The client provides methods to list available resources and retrieve their content.
<Tabs>
<Tab title="Sync API">
```java
// List available resources
var resources = client.listResources();
resources.forEach(resource -> System.out.println(resource.getName()));
// Get a resource
var content = client.getResource("file", Map.of(
"path", "/path/to/file.txt"
));
```
</Tab>
<Tab title="Async API">
```java
// List available resources
client.listResources()
.doOnNext(resources -> resources.forEach(resource ->
System.out.println(resource.getName())))
.subscribe();
// Get a resource
client.getResource("file", Map.of(
"path", "/path/to/file.txt"
))
.subscribe();
```
</Tab>
</Tabs>
### Prompt System
The prompt system allows clients to interact with server-side prompt templates. The client provides methods to list available prompts and execute them with parameters.
<Tabs>
<Tab title="Sync API">
```java
// List available prompts
var prompts = client.listPrompts();
prompts.forEach(prompt -> System.out.println(prompt.getName()));
// Execute a prompt
var response = client.executePrompt("echo", Map.of(
"text", "Hello, World!"
));
```
</Tab>
<Tab title="Async API">
```java
// List available prompts
client.listPrompts()
.doOnNext(prompts -> prompts.forEach(prompt ->
System.out.println(prompt.getName())))
.subscribe();
// Execute a prompt
client.executePrompt("echo", Map.of(
"text", "Hello, World!"
))
.subscribe();
```
</Tab>
</Tabs>

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---
title: Overview
description: Introduction to the Model Context Protocol (MCP) Java SDK
---
Java SDK for the [Model Context Protocol](https://modelcontextprotocol.org/docs/concepts/architecture)
enables standardized integration between AI models and tools.
## Features
- MCP Client and MCP Server implementations
- Supports Synchronous and Asynchronous programming paradigms
- Standard MCP operations support:
- Protocol [version compatibility negotiation](https://spec.modelcontextprotocol.io/specification/2024-11-05/basic/lifecycle/#initialization)
- [Tool](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/tools/) discovery, execution, list change notifications
- [Resource](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/resources/) management with URI templates
- [Roots](https://spec.modelcontextprotocol.io/specification/2024-11-05/client/roots/) list management and notifications
- [Prompt](https://spec.modelcontextprotocol.io/specification/2024-11-05/server/prompts/) handling and management
- [Sampling](https://spec.modelcontextprotocol.io/specification/2024-11-05/client/sampling/) support for AI model interactions
- Multiple transport implementations:
- Core transports:
- Stdio-based transport for process-based communication
- Java HttpClient-based SSE client transport for HTTP SSE Client-side streaming
- Servlet-based SSE server transport for HTTP SSE Server streaming
- Spring-based transports:
- WebFlux SSE transport for reactive HTTP streaming
- WebMVC SSE transport for servlet-based HTTP streaming
## Architecture
![Java MCP Client Architecture](/images/java/java-mcp-client-architecture.jpg)
![Java MCP Server Architecture](/images/java/java-mcp-server-architecture.jpg)
The SDK follows a layered architecture with clear separation of concerns:
- **Client/Server Layer (McpClient/McpServer)**: Both use McpSession for sync/async operations,
with McpClient handling client-side protocol operations and McpServer managing server-side protocol operations.
- **Session Layer (McpSession)**: Manages communication patterns and state using DefaultMcpSession implementation.
- **Transport Layer (McpTransport)**: Handles JSON-RPC message serialization/deserialization via:
- StdioTransport (stdin/stdout) in the core module
- HTTP SSE transports in dedicated transport modules (Java HttpClient, Spring WebFlux, Spring WebMVC)
![MCP Stack Architecture](/images/java/mcp-stack.svg)
The following class diagram illustrates the layered architecture of the MCP SDK, showing
the relationships between core interfaces (McpTransport, McpSession), their implementations,
and the client/server components. It highlights how the transport layer connects to sessions, which in turn support both synchronous and asynchronous client/server implementations.
![MCP SDK Class Diagram](/images/java/java-mcp-uml-classdiagram.svg)
Key Interactions:
- **Client/Server Initialization**: Transport setup, protocol compatibility check, capability negotiation, and implementation details exchange.
- **Message Flow**: JSON-RPC message handling with validation, type-safe response processing, and error handling.
- **Resource Management**: Resource discovery, URI template-based access, subscription system, and content retrieval.
## Dependencies
Add the following Maven dependency to your project:
<Tabs>
<Tab title="Maven">
The core MCP functionality:
```xml
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp</artifactId>
</dependency>
```
For HTTP SSE transport implementations, add one of the following dependencies:
```xml
<!-- Spring WebFlux-based SSE client and server transport -->
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp-spring-webflux</artifactId>
</dependency>
<!-- Spring WebMVC-based SSE server transport -->
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp-spring-webmvc</artifactId>
</dependency>
```
</Tab>
<Tab title="Gradle">
The core MCP functionality:
```groovy
dependencies {
implementation platform("io.modelcontextprotocol.sdk:mcp")
//...
}
```
For HTTP SSE transport implementations, add one of the following dependencies:
```groovy
// Spring WebFlux-based SSE client and server transport
dependencies {
implementation platform("io.modelcontextprotocol.sdk:mcp-spring-webflux")
}
// Spring WebMVC-based SSE server transport
dependencies {
implementation platform("io.modelcontextprotocol.sdk:mcp-spring-webmvc")
}
```
</Tab>
</Tabs>
### Bill of Materials (BOM)
The Bill of Materials (BOM) declares the recommended versions of all the dependencies used by a given release.
Using the BOM from your application's build script avoids the need for you to specify and maintain the dependency versions yourself.
Instead, the version of the BOM you're using determines the utilized dependency versions.
It also ensures that you're using supported and tested versions of the dependencies by default, unless you choose to override them.
Add the BOM to your project:
<Tabs>
<Tab title="Maven">
```xml
<dependencyManagement>
<dependencies>
<dependency>
<groupId>io.modelcontextprotocol.sdk</groupId>
<artifactId>mcp-bom</artifactId>
<version>0.7.0-SNAPSHOT</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
```
</Tab>
<Tab title="Gradle">
```groovy
dependencies {
implementation platform("io.modelcontextprotocol.sdk:mcp-bom:0.7.0-SNAPSHOT")
//...
}
```
Gradle users can also use the Spring AI MCP BOM by leveraging Gradle (5.0+) native support for declaring dependency constraints using a Maven BOM.
This is implemented by adding a 'platform' dependency handler method to the dependencies section of your Gradle build script.
As shown in the snippet above this can then be followed by version-less declarations of the Starter Dependencies for the one or more spring-ai modules you wish to use, e.g. spring-ai-openai.
</Tab>
</Tabs>
Replace the version number with the version of the BOM you want to use.
### Available Dependencies
The following dependencies are available and managed by the BOM:
- Core Dependencies
- `io.modelcontextprotocol.sdk:mcp` - Core MCP library providing the base functionality and APIs for Model Context Protocol implementation.
- Transport Dependencies
- `io.modelcontextprotocol.sdk:mcp-spring-webflux` - WebFlux-based Server-Sent Events (SSE) transport implementation for reactive applications.
- `io.modelcontextprotocol.sdk:mcp-spring-webmvc` - WebMVC-based Server-Sent Events (SSE) transport implementation for servlet-based applications.
- Testing Dependencies
- `io.modelcontextprotocol.sdk:mcp-test` - Testing utilities and support for MCP-based applications.

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---
title: MCP Server
description: Learn how to implement and configure a Model Context Protocol (MCP) server
---
## Overview
The MCP Server is a foundational component in the Model Context Protocol (MCP) architecture that provides tools, resources, and capabilities to clients. It implements the server-side of the protocol, responsible for:
- Exposing tools that clients can discover and execute
- Managing resources with URI-based access patterns
- Providing prompt templates and handling prompt requests
- Supporting capability negotiation with clients
- Implementing server-side protocol operations
- Managing concurrent client connections
- Providing structured logging and notifications
The server supports both synchronous and asynchronous APIs, allowing for flexible integration in different application contexts.
<Tabs>
<Tab title="Sync API">
```java
// Create a server with custom configuration
McpSyncServer syncServer = McpServer.sync(transport)
.serverInfo("my-server", "1.0.0")
.capabilities(ServerCapabilities.builder()
.resources(true) // Enable resource support
.tools(true) // Enable tool support
.prompts(true) // Enable prompt support
.logging() // Enable logging support
.build())
.build();
// Initialize the server
syncServer.initialize();
// Register tools, resources, and prompts
syncServer.addTool(syncToolRegistration);
syncServer.addResource(syncResourceRegistration);
syncServer.addPrompt(syncPromptRegistration);
// Send logging notifications
syncServer.loggingNotification(LoggingMessageNotification.builder()
.level(LoggingLevel.INFO)
.logger("custom-logger")
.data("Server initialized")
.build());
// Close the server when done
syncServer.close();
```
</Tab>
<Tab title="Async API">
```java
// Create an async server with custom configuration
McpAsyncServer asyncServer = McpServer.async(transport)
.serverInfo("my-server", "1.0.0")
.capabilities(ServerCapabilities.builder()
.resources(true) // Enable resource support
.tools(true) // Enable tool support
.prompts(true) // Enable prompt support
.logging() // Enable logging support
.build())
.build();
// Initialize the server
asyncServer.initialize()
.doOnSuccess(v -> logger.info("Server initialized"))
.subscribe();
// Register tools, resources, and prompts
asyncServer.addTool(asyncToolRegistration)
.doOnSuccess(v -> logger.info("Tool registered"))
.subscribe();
asyncServer.addResource(asyncResourceRegistration)
.doOnSuccess(v -> logger.info("Resource registered"))
.subscribe();
asyncServer.addPrompt(asyncPromptRegistration)
.doOnSuccess(v -> logger.info("Prompt registered"))
.subscribe();
// Send logging notifications
asyncServer.loggingNotification(LoggingMessageNotification.builder()
.level(LoggingLevel.INFO)
.logger("custom-logger")
.data("Server initialized")
.build());
// Close the server when done
asyncServer.close()
.doOnSuccess(v -> logger.info("Server closed"))
.subscribe();
```
</Tab>
</Tabs>
## Server Transport
The transport layer in the MCP SDK is responsible for handling the communication between clients and servers. It provides different implementations to support various communication protocols and patterns. The SDK includes several built-in transport implementations:
<Tabs>
<Tab title="STDIO">
<>
Create in-process based transport:
```java
StdioServerTransport transport = new StdioServerTransport(new ObjectMapper());
```
Provides bidirectional JSON-RPC message handling over standard input/output streams with non-blocking message processing, serialization/deserialization, and graceful shutdown support.
Key features:
<ul>
<li>Bidirectional communication through stdin/stdout</li>
<li>Process-based integration support</li>
<li>Simple setup and configuration</li>
<li>Lightweight implementation</li>
</ul>
</>
</Tab>
<Tab title="SSE (WebFlux)">
<>
<p>Creates WebFlux-based SSE server transport.<br />Requires the <code>mcp-spring-webflux</code> dependency.</p>
```java
@Configuration
class McpConfig {
@Bean
WebFluxSseServerTransport webFluxSseServerTransport(ObjectMapper mapper) {
return new WebFluxSseServerTransport(mapper, "/mcp/message");
}
@Bean
RouterFunction<?> mcpRouterFunction(WebFluxSseServerTransport transport) {
return transport.getRouterFunction();
}
}
```
<p>Implements the MCP HTTP with SSE transport specification, providing:</p>
<ul>
<li>Reactive HTTP streaming with WebFlux</li>
<li>Concurrent client connections through SSE endpoints</li>
<li>Message routing and session management</li>
<li>Graceful shutdown capabilities</li>
</ul>
</>
</Tab>
<Tab title="SSE (WebMvc)">
<>
<p>Creates WebMvc-based SSE server transport.<br />Requires the <code>mcp-spring-webmvc</code> dependency.</p>
```java
@Configuration
@EnableWebMvc
class McpConfig {
@Bean
WebMvcSseServerTransport webMvcSseServerTransport(ObjectMapper mapper) {
return new WebMvcSseServerTransport(mapper, "/mcp/message");
}
@Bean
RouterFunction<ServerResponse> mcpRouterFunction(WebMvcSseServerTransport transport) {
return transport.getRouterFunction();
}
}
```
<p>Implements the MCP HTTP with SSE transport specification, providing:</p>
<ul>
<li>Server-side event streaming</li>
<li>Integration with Spring WebMVC</li>
<li>Support for traditional web applications</li>
<li>Synchronous operation handling</li>
</ul>
</>
</Tab>
<Tab title="SSE (Servlet)">
<>
<p>
Creates a Servlet-based SSE server transport. It is included in the core <code>mcp</code> module.<br />
The <code>HttpServletSseServerTransport</code> can be used with any Servlet container.<br />
To use it with a Spring Web application, you can register it as a Servlet bean:
</p>
```java
@Configuration
@EnableWebMvc
public class McpServerConfig implements WebMvcConfigurer {
@Bean
public HttpServletSseServerTransport servletSseServerTransport() {
return new HttpServletSseServerTransport(new ObjectMapper(), "/mcp/message");
}
@Bean
public ServletRegistrationBean customServletBean(HttpServletSseServerTransport servlet) {
return new ServletRegistrationBean(servlet);
}
}
```
<p>
Implements the MCP HTTP with SSE transport specification using the traditional Servlet API, providing:
</p>
<ul>
<li>Asynchronous message handling using Servlet 6.0 async support</li>
<li>Session management for multiple client connections</li>
<li>
Two types of endpoints:
<ul>
<li>SSE endpoint (<code>/sse</code>) for server-to-client events</li>
<li>Message endpoint (configurable) for client-to-server requests</li>
</ul>
</li>
<li>Error handling and response formatting</li>
<li>Graceful shutdown support</li>
</ul>
</>
</Tab>
</Tabs>
## Server Capabilities
The server can be configured with various capabilities:
```java
var capabilities = ServerCapabilities.builder()
.resources(false, true) // Resource support with list changes notifications
.tools(true) // Tool support with list changes notifications
.prompts(true) // Prompt support with list changes notifications
.logging() // Enable logging support (enabled by default with loging level INFO)
.build();
```
### Logging Support
The server provides structured logging capabilities that allow sending log messages to clients with different severity levels:
```java
// Send a log message to clients
server.loggingNotification(LoggingMessageNotification.builder()
.level(LoggingLevel.INFO)
.logger("custom-logger")
.data("Custom log message")
.build());
```
Clients can control the minimum logging level they receive through the `mcpClient.setLoggingLevel(level)` request. Messages below the set level will be filtered out.
Supported logging levels (in order of increasing severity): DEBUG (0), INFO (1), NOTICE (2), WARNING (3), ERROR (4), CRITICAL (5), ALERT (6), EMERGENCY (7)
### Tool Registration
<Tabs>
<Tab title="Sync">
```java
// Sync tool registration
var syncToolRegistration = new McpServerFeatures.SyncToolRegistration(
new Tool("calculator", "Basic calculator", Map.of(
"operation", "string",
"a", "number",
"b", "number"
)),
arguments -> {
// Tool implementation
return new CallToolResult(result, false);
}
);
```
</Tab>
<Tab title="Async">
```java
// Async tool registration
var asyncToolRegistration = new McpServerFeatures.AsyncToolRegistration(
new Tool("calculator", "Basic calculator", Map.of(
"operation", "string",
"a", "number",
"b", "number"
)),
arguments -> {
// Tool implementation
return Mono.just(new CallToolResult(result, false));
}
);
```
</Tab>
</Tabs>
### Resource Registration
<Tabs>
<Tab title="Sync">
```java
// Sync resource registration
var syncResourceRegistration = new McpServerFeatures.SyncResourceRegistration(
new Resource("custom://resource", "name", "description", "mime-type", null),
request -> {
// Resource read implementation
return new ReadResourceResult(contents);
}
);
```
</Tab>
<Tab title="Async">
```java
// Async resource registration
var asyncResourceRegistration = new McpServerFeatures.AsyncResourceRegistration(
new Resource("custom://resource", "name", "description", "mime-type", null),
request -> {
// Resource read implementation
return Mono.just(new ReadResourceResult(contents));
}
);
```
</Tab>
</Tabs>
### Prompt Registration
<Tabs>
<Tab title="Sync">
```java
// Sync prompt registration
var syncPromptRegistration = new McpServerFeatures.SyncPromptRegistration(
new Prompt("greeting", "description", List.of(
new PromptArgument("name", "description", true)
)),
request -> {
// Prompt implementation
return new GetPromptResult(description, messages);
}
);
```
</Tab>
<Tab title="Async">
```java
// Async prompt registration
var asyncPromptRegistration = new McpServerFeatures.AsyncPromptRegistration(
new Prompt("greeting", "description", List.of(
new PromptArgument("name", "description", true)
)),
request -> {
// Prompt implementation
return Mono.just(new GetPromptResult(description, messages));
}
);
```
</Tab>
</Tabs>
## Error Handling
The SDK provides comprehensive error handling through the McpError class, covering protocol compatibility, transport communication, JSON-RPC messaging, tool execution, resource management, prompt handling, timeouts, and connection issues. This unified error handling approach ensures consistent and reliable error management across both synchronous and asynchronous operations.