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Test MCP Server Chat

@pablo-palacios-pi

Basic information

Category

AI & Agents

Transports

stdio

Author

pablo-palacios-pi

About Test MCP Server Chat

No overview available yet

Test MCP Server Chat config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Test MCP Server Chat tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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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