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- Execute tool calls, resource reads and prompt handling in a non-blocking manner using Schedulers.boundedElastic(). This prevents blocking operations from impacting server responsiveness. - Added integration tests to verify non-blocking behavior with tools that make HTTP calls to external services. Related to #48 This is a temp patch until #48 is resolved properly.
41 lines
1.3 KiB
Text
41 lines
1.3 KiB
Text
= Spring AI MCP Spring
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:page-title: Spring AI MCP Spring
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:doctype: book
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:icons: font
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:source-highlighter: highlight.js
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:toc: left
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Spring Integration module for Model Control Protocol (MCP) that provides Spring-specific functionality for working with MCP clients.
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== Overview
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The `spring-ai-mcp` module is part of the https://github.com/spring-projects-experimental/spring-ai-mcp[Spring AI MCP] project. It provides Spring Framework integration for the Model Control Protocol (MCP), enabling seamless integration of MCP functionality within Spring applications.
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== Features
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* Spring integration for MCP clients
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* Function callback implementation for tool invocations
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* Seamless integration with Spring AI's function calling capabilities
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== Main Components
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=== McpFunctionCallback
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The `McpFunctionCallback` class is the primary component of this module. It implements Spring AI's `FunctionCallback` interface and provides:
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* Integration between Spring AI's function calling system and MCP tools
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* Automatic conversion between JSON and Java objects for tool arguments
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* Synchronous tool execution support
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== Usage
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To use this module, add the following dependency to your Maven project:
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[source,xml]
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----
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<dependency>
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<groupId>org.springframework.experimental</groupId>
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<artifactId>spring-ai-mcp</artifactId>
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<version>0.5.0-SNAPSHOT</version>
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</dependency>
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----
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