--- title: MCP Client description: Learn how to use the Model Context Protocol (MCP) client to interact with MCP servers --- # MCP 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 with optional schema validation - Resource access and management - Prompt system interactions - Optional features like roots management, sampling, and elicitation support - Progress tracking for long-running operations !!! tip The core `io.modelcontextprotocol.sdk:mcp` module provides STDIO, SSE, and Streamable HTTP client transport implementations without requiring external web frameworks. The Spring-specific WebFlux transport (`mcp-spring-webflux`) is now part of [Spring AI](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-overview.html) 2.0+ (group `org.springframework.ai`) and is no longer shipped by this SDK. See the [MCP Client Boot Starter](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-client-boot-starter-docs.html) documentation for Spring-based client setup. The client provides both synchronous and asynchronous APIs for flexibility in different application contexts. === "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 .elicitation() // Enable elicitation capability .build()) .sampling(request -> new CreateMessageResult(response)) .elicitation(request -> new ElicitResult(ElicitResult.Action.ACCEPT, content)) .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(); ``` === "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 .elicitation() // Enable elicitation capability .build()) .sampling(request -> Mono.just(new CreateMessageResult(response))) .elicitation(request -> Mono.just(new ElicitResult(ElicitResult.Action.ACCEPT, content))) .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); })) .progressConsumer(progress -> Mono.fromRunnable(() -> { logger.info("Progress: {}", progress); })) .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(); ``` ## 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. ### STDIO Creates transport for process-based communication using stdin/stdout: ```java ServerParameters params = ServerParameters.builder("npx") .args("-y", "@modelcontextprotocol/server-everything", "dir") .build(); McpTransport transport = new StdioClientTransport(params); ``` ### Streamable HTTP === "Streamable HttpClient" Creates a Streamable HTTP client transport for efficient bidirectional communication. Included in the core `mcp` module: ```java McpTransport transport = HttpClientStreamableHttpTransport .builder("http://your-mcp-server") .endpoint("/mcp") .build(); ``` The Streamable HTTP transport supports: - Resumable streams for connection recovery - Configurable connect timeout - Custom HTTP request customization - Multiple protocol version negotiation === "Streamable WebClient (external)" Creates Streamable HTTP WebClient-based client transport. Requires the `mcp-spring-webflux` dependency from [Spring AI](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-overview.html) 2.0+ (group `org.springframework.ai`): ```java McpTransport transport = WebFluxSseClientTransport .builder(WebClient.builder().baseUrl("http://your-mcp-server")) .build(); ``` ### SSE HTTP (Legacy) === "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"); ``` === "SSE WebClient (external)" Creates WebFlux-based SSE client transport. Requires the `mcp-spring-webflux` dependency from [Spring AI](https://docs.spring.io/spring-ai/reference/2.0-SNAPSHOT/api/mcp/mcp-overview.html) 2.0+ (group `org.springframework.ai`): ```java WebClient.Builder webClientBuilder = WebClient.builder() .baseUrl("http://your-mcp-server"); McpTransport transport = new WebFluxSseClientTransport(webClientBuilder); ``` ## 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 .elicitation() // Enable elicitation support (form and URL modes) .build(); ``` You can also configure elicitation with specific mode support: ```java var capabilities = ClientCapabilities.builder() .elicitation(true, false) // Enable form-based elicitation, disable URL-based .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 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 ### Elicitation Support Elicitation enables servers to request additional information or user input through the client. This is useful when a server needs clarification or confirmation during an operation: ```java // Configure elicitation handler Function elicitationHandler = request -> { // Present the request to the user and collect their response // The request contains a message and a schema describing the expected input Map userResponse = collectUserInput(request.message(), request.requestedSchema()); return new ElicitResult(ElicitResult.Action.ACCEPT, userResponse); }; // Create client with elicitation support var client = McpClient.sync(transport) .capabilities(ClientCapabilities.builder() .elicitation() .build()) .elicitation(elicitationHandler) .build(); ``` The `ElicitResult` supports three actions: - `ACCEPT` - The user accepted and provided the requested information - `DECLINE` - The user declined to provide the information - `CANCEL` - The operation was cancelled ### Logging Support The client can register a logging consumer to receive log messages from the server and set the minimum logging level to filter messages: ```java var mcpClient = McpClient.sync(transport) .loggingConsumer(notification -> { System.out.println("Received log message: " + notification.data()); }) .build(); mcpClient.initialize(); mcpClient.setLoggingLevel(McpSchema.LoggingLevel.INFO); // Call the tool that sends logging notifications CallToolResult result = mcpClient.callTool(new CallToolRequest("logging-test", Map.of())); ``` 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) ### Progress Notifications The client can register a progress consumer to track the progress of long-running operations: ```java var mcpClient = McpClient.sync(transport) .progressConsumer(progress -> { System.out.println("Progress: " + progress.progress() + "/" + progress.total()); }) .build(); ``` ## Using MCP Clients ### Tool Execution Tools are server-side functions that clients can discover and execute. The MCP client provides methods to list available tools and execute them with specific parameters. Each tool has a unique name and accepts a map of parameters. === "Sync API" ```java // List available tools ListToolsResult tools = client.listTools(); // Call a tool with a CallToolRequest CallToolResult result = client.callTool( new CallToolRequest("calculator", Map.of( "operation", "add", "a", 1, "b", 2 )) ); ``` === "Async API" ```java // List available tools asynchronously client.listTools() .doOnNext(tools -> tools.tools().forEach(tool -> System.out.println(tool.name()))) .subscribe(); // Call a tool asynchronously client.callTool(new CallToolRequest("calculator", Map.of( "operation", "add", "a", 1, "b", 2 ))) .subscribe(); ``` ### Tool Schema Validation and Caching The client supports optional JSON schema validation for tool call results and automatic schema caching: ```java var client = McpClient.sync(transport) .jsonSchemaValidator(myValidator) // Enable schema validation .enableCallToolSchemaCaching(true) // Cache tool schemas .build(); ``` ### Resource Access Resources represent server-side data sources that clients can access using URI templates. The MCP client provides methods to discover available resources and retrieve their contents through a standardized interface. === "Sync API" ```java // List available resources ListResourcesResult resources = client.listResources(); // Read a resource ReadResourceResult resource = client.readResource( new ReadResourceRequest("resource://uri") ); ``` === "Async API" ```java // List available resources asynchronously client.listResources() .doOnNext(resources -> resources.resources().forEach(resource -> System.out.println(resource.name()))) .subscribe(); // Read a resource asynchronously client.readResource(new ReadResourceRequest("resource://uri")) .subscribe(); ``` ### Resource Subscriptions When the server advertises `resources.subscribe` support, clients can subscribe to individual resources and receive a callback whenever the server pushes a `notifications/resources/updated` notification for that URI. The SDK automatically re-reads the resource on notification and delivers the updated contents to the registered consumer. Register a consumer on the client builder, then subscribe/unsubscribe at any time: === "Sync API" ```java McpSyncClient client = McpClient.sync(transport) .resourcesUpdateConsumer(contents -> { // called with the updated resource contents after each notification System.out.println("Resource updated: " + contents); }) .build(); client.initialize(); // Subscribe to a specific resource URI client.subscribeResource(new McpSchema.SubscribeRequest("custom://resource")); // ... later, stop receiving updates client.unsubscribeResource(new McpSchema.UnsubscribeRequest("custom://resource")); ``` === "Async API" ```java McpAsyncClient client = McpClient.async(transport) .resourcesUpdateConsumer(contents -> Mono.fromRunnable(() -> { System.out.println("Resource updated: " + contents); })) .build(); client.initialize() .then(client.subscribeResource(new McpSchema.SubscribeRequest("custom://resource"))) .subscribe(); // ... later, stop receiving updates client.unsubscribeResource(new McpSchema.UnsubscribeRequest("custom://resource")) .subscribe(); ``` ### Prompt System The prompt system enables interaction with server-side prompt templates. These templates can be discovered and executed with custom parameters, allowing for dynamic text generation based on predefined patterns. === "Sync API" ```java // List available prompt templates ListPromptsResult prompts = client.listPrompts(); // Get a prompt with parameters GetPromptResult prompt = client.getPrompt( new GetPromptRequest("greeting", Map.of("name", "World")) ); ``` === "Async API" ```java // List available prompt templates asynchronously client.listPrompts() .doOnNext(prompts -> prompts.prompts().forEach(prompt -> System.out.println(prompt.name()))) .subscribe(); // Get a prompt asynchronously client.getPrompt(new GetPromptRequest("greeting", Map.of("name", "World"))) .subscribe(); ```