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Test MCP Server Chat

@pablo-palacios-pi

基本信息

分类

AI 与智能体

传输方式

stdio

作者

pablo-palacios-pi

关于 Test MCP Server Chat

暂无概览

Test MCP Server Chat 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

Test MCP Server Chat 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 Test_mcp_server_chat?

Test_mcp_server_chat is an MCP (Model Context Protocol) server that exposes tools for any LLM agent that supports function calling. It provides simple math calculation tools and a tool to fetch names from a local list, accessible through an API.

How to use Test_mcp_server_chat?

Start the server locally with uvicorn main:app --reload. The API endpoint to initiate conversation is http://127.0.0.1:8000/api/chat_model. Because of a Windows async subprocess limitation, running the server in WSL (Windows Subsystem for Linux) is recommended.

Key features of Test_mcp_server_chat

  • Provides math calculation tools for LLM agents.
  • Includes a tool to fetch names from a local list.
  • API-based for simple interaction.
  • Designed to work with any LLM that accepts tools.
  • Easy local startup with Uvicorn.

Use cases of Test_mcp_server_chat

  • LLM agents requiring basic arithmetic operations.
  • Agents that need to retrieve sample names from a predefined list.
  • Developers testing MCP tool integration on a local API.

常见问题

1

What is the purpose of Test_mcp_server_chat?

It provides a simple MCP server to let any LLM agent that supports tools call math functions and access a local name list.

2

How do I start Test_mcp_server_chat?

Run `uvicorn main:app --reload` in your terminal. The API is available at `http://127.0.0.1:8000/api/chat_model`.

3

Why should I run Test_mcp_server_chat in WSL?

On Windows, the asyncio subprocess execution may fail with `NotImplementedError`. WSL provides full native support for asyncio subprocesses, avoiding this error.

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