MCP Server Fastapi

@Dhiraj123-star

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

Dhiraj123-star

MCP Server Fastapi について

概要はまだありません

#mcp #fastapi #server

MCP Server Fastapi 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_server_fastapi": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-r",
        "pyproject.toml"
      ]
    }
  }
}

MCP Server Fastapi 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 MCP_server_fastapi?

MCP_server_fastapi is a Model Context Protocol (MCP) server that exposes tools (such as a weather tool) for AI assistants to call. It is built for developers who want to integrate MCP tools into their applications using a Python stack.

How to use MCP_server_fastapi?

Install dependencies with uv pip install -r pyproject.toml. Run the server via python src/server.py or uv run start. Test and debug tools locally using the MCP Inspector: mcp dev ./src/weather.py.

Key features of MCP_server_fastapi

Dependency management with uv for faster installation
Supports both Python and uv run commands
Debugging with MCP Inspector
Requires Python 3.12+
Includes a weather tool (indicated by weather.py)

Use cases of MCP_server_fastapi

Providing weather data to AI assistants via MCP
Building custom MCP tools with Python and testing locally
Integrating MCP tools into LLM applications

よくある質問

What are the requirements to run the server?

Python 3.12+, `uv` installed, and the `mcp` CLI installed.

How do I install the dependencies?

Run `uv pip install -r pyproject.toml` in the project root.

How do I start the server?

You can run `python src/server.py` or `uv run start`.

How do I test or debug a tool locally?

Use the MCP Inspector with `mcp dev ./src/weather.py`.

What runtime environment does the server use?

The server runs on Python and uses `uv` for package management.

「開発者ツール」の他のコンテンツ

BetterBugs

The BetterBugs MCP (Model Context Protocol) enables you to load BetterBugs bug reports (via report links) directly to your preferred AI Agents and developer environments with MCP Client capabilities (such as Cursor, VS C

Nebelus

Nebelus is an enterprise agentic-AI platform for regulated industries. This MCP server exposes the Nebelus Construction API: ~48 tools that give an MCP client full agent build parity — create/update/probe agents, edit ag

Crawl Readiness

Grubbomatic

AI SEO tools for MCP clients — audit whether AI crawlers can read a website, validate JSON-LD and robots.txt, and generate llms.txt, AI-crawler-aware robots.txt, and JSON-LD schema without leaving the conversation.

Casefile

azimov777

One case file per task — shared by every session, agent and person that touches it. Self-hosted MCP server and live board. MIT.