What API key is required?
You need a DeepSeek API key, configured as `spring.ai.openai.api-key` in the `application.properties` files of the `mcp-client` and `call-mcp` modules.
@firefly0512
基本信息
使用 Spring AI 整合 MCP 服务,包括 MCP server 和 deepseek client
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。
Spring Ai Mcp Deepseek is a project that uses Spring AI 1.0.0 to integrate Model Context Protocol (MCP) services with a DeepSeek AI client. It provides an MCP server and multiple client modules for chat and tool invocation.
Configure your DeepSeek API key (spring.ai.openai.api-key) in application.properties. Start the mcp-server module on port 8085, then start either the mcp-client module (port 8082) for a text chat API, or the mcp-tool-client module (port 8083) for a page-based client with stream and tool‑call control. Access the SSE endpoint at http://localhost:8085/sse.
You need a DeepSeek API key, configured as `spring.ai.openai.api-key` in the `application.properties` files of the `mcp-client` and `call-mcp` modules.
It contains three modules: `mcp-server` (port 8085), `mcp-client` (port 8082), and `mcp-tool-client` (port 8083).
For the text client, use endpoints like `/api/chat` or `/chat` with a `message` parameter. For the page client, visit `http://localhost:8083/`.
Yes, the MCP server exposes an SSE endpoint at `http://localhost:8085/sse`.
Yes, the `mcp-tool-client` module provides a web page at port 8083 that shows a list of registered MCP tools and allows invoking them with formatted results.

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