MCP Wikipedia API Server

@Rishavv007

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

Rishavv007

MCP Wikipedia API Server について

A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok.

#mcp #wikipedia #api #server #fastapi

MCP Wikipedia API Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Wikipedia API 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 MCP-Wikipedia-API-Server?

It is a FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok. It implements the Model Context Protocol to allow AI assistants to query Wikipedia via an MCP-compatible interface.

How to use MCP-Wikipedia-API-Server?

Install required dependencies in a Google Colab cell (!pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio), then authenticate Ngrok (!ngrok config add-authtoken <YOUR_TOKEN>) to expose the server.

Key features of MCP-Wikipedia-API-Server

Fetches Wikipedia summaries based on user queries
Runs as an MCP-compatible server for AI interactions
Built with FastAPI and the Wikipedia API
Deployed using Google Colab + Ngrok

Use cases of MCP-Wikipedia-API-Server

AI assistants retrieving quick Wikipedia summaries for user questions
Developers prototyping MCP servers with minimal infrastructure
Educational projects demonstrating MCP + FastAPI + Ngrok integration

よくある質問

What dependencies are required?

The server requires `fastapi`, `uvicorn`, `pyngrok`, `requests`, `wikipedia-api`, and `nest_asyncio`.

How is the server deployed?

It runs inside a Google Colab notebook and is exposed to the internet via an Ngrok tunnel.

What protocol does the server use?

It uses the Model Context Protocol (MCP) over HTTP, implemented with FastAPI.

Can it be used outside Google Colab?

The README only documents deployment via Google Colab; no alternative setup is described.

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