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Test_mcp_server_chat

@pablo-palacios-pi

关于 Test_mcp_server_chat

暂无概览

基本信息

分类

AI 与智能体

运行时

python

传输方式

stdio

发布者

pablo-palacios-pi

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

工具

未检测到工具

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.

FAQ from Test_mcp_server_chat

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.

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.

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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