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Try Fastmcp MCP Server

@iAbdelRahim

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

iAbdelRahim

Try Fastmcp MCP Server について

chat with a llm having access to a mcp server.

#mcp-chat#llm#mcp-server

Try Fastmcp MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp_chat": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "env"
      ]
    }
  }
}

Try Fastmcp MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is try_fastmcp?

try_fastmcp is a Python application that uses the FastMCP library to create an MCP server. It integrates with the OpenAI API and provides tools for dataset retrieval, news search, and mathematical operations, as well as a greeting resource. It is intended for developers who need a lightweight MCP server with these capabilities.

How to use try_fastmcp?

Clone the repository, create and activate a virtual environment, install dependencies with pip install -r requirements.txt, and set your OpenAI API key in the .env file. Run the server with python server.py and the client with streamlit run client.py.

Key features of try_fastmcp?

  • Retrieve all public datasets from data.gouv.ci catalog.
  • Fetch news articles based on user queries.
  • Perform 13 mathematical operations (add, subtract, multiply, divide, etc.)
  • Generate personalized greetings via a resource endpoint.
  • Uses FastMCP library and OpenAI API.

Use cases of try_fastmcp?

  • Automating dataset discovery from a government open data portal.
  • Performing quick arithmetic or scientific calculations through an MCP tool.
  • Integrating news search into a larger AI‑powered workflow.
  • Demonstrating how to build and run a FastMCP server with Python.

よくある質問

1

What Python version is required?

Python 3.6 or higher is required.

2

How do I set the OpenAI API key?

Rename the `.env.example` file to `.env` and fill in your `OPENAI_API_KEY`.

3

What tools does the server provide?

It provides `get_all_datasets`, `websearch_newssearch`, and 11 math tools (add, subtract, multiply, divide, power, sqrt, cbrt, factorial, log, remainder, sin, cos, tan).

4

How do I run the client?

Execute `streamlit run client.py` in the activated virtual environment.

5

What is the greeting resource?

The resource `greeting://{name}` returns a personalized greeting for the given name.

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