MCP.so
登录

Spring Ai MCP Client

@ogulcanarbc

基本信息

分类

其他

传输方式

stdio

作者

ogulcanarbc

关于 Spring Ai MCP Client

mcp client application that utilizes spring ai. it integrates with mcp protocol-supported servers to enable ai-powered chat interactions.

Spring Ai MCP Client 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

Spring Ai MCP Client 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is spring-ai-mcp-client?

spring-ai-mcp-client is a Java-based Model Context Protocol (MCP) client built with Spring AI. It connects to MCP protocol–supported servers and enables AI-powered chat interactions using Anthropic Claude or OpenAI models. It handles protocol version negotiation, capability negotiation, tool discovery and execution, resource access, prompt system interactions, and optional features like roots management and sampling.

How to use spring-ai-mcp-client?

Clone the repository, configure MCP server details in an mcp-servers.json file, set your Anthropic or OpenAI API key, and provide Spring Boot configuration in application.yml. Then run mvn spring-boot:run and access the chat endpoint at http://localhost:8081/ai with a GET request containing a message parameter.

Key features of spring-ai-mcp-client

  • Client-side MCP protocol implementation including version negotiation
  • Supports Anthropic Claude and OpenAI models
  • Manages communication via JSON‑RPC over stdio transport
  • Enables tool discovery, execution, resource access, and prompt interactions
  • Optional support for roots management and sampling
  • Configurable request timeout, server name, and sync type

Use cases of spring-ai-mcp-client

  • Building AI‑powered chatbots that leverage external MCP‑compatible servers
  • Integrating model context tools and resources into Spring‑based applications
  • Creating a unified gateway to query multiple MCP servers with a single API call
  • Prototyping conversational AI features with either Anthropic or OpenAI models

常见问题

1

What AI models does spring-ai-mcp-client support?

It supports both Anthropic Claude models and OpenAI models. You configure the API key in `application.yml` for either provider.

2

What are the runtime requirements?

Java 17 or later, Maven or Gradle for building, and optionally Docker. You also need either an Anthropic API key or an OpenAI API key.

3

How do I configure MCP servers?

Create an `mcp-servers.json` file (placed on the classpath) listing each server’s command and arguments. Then reference that file in `spring.ai.mcp.client.stdio.servers-configuration` in your `application.yml`.

4

What transport and protocol does spring-ai-mcp-client use?

It uses stdio transport with JSON‑RPC message format. The client negotiates protocol version and capabilities with the server automatically.

5

Where is the chat endpoint and how do I invoke it?

The application runs on port 8081 by default (configurable via `server.port`). Send a GET request to `http://localhost:8081/ai?message=YourQuestion` to start a chat.

评论

其他 分类下的更多 MCP 服务器