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MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment - MCP Implementation

MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment

MCP-Wikipedia-API-Server: Instant Wikipedia summaries for AI assistants—deploy lightning-fast on Google Colab & Ngrok. Empower your bots with trusted knowledge, no hassle.

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About MCP-Wikipedia-API-Server

What is MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment?

This project is a streamlined solution for AI assistants to quickly retrieve Wikipedia summaries. It uses FastAPI to create an MCP-compatible server, deployed effortlessly on Google Colab with Ngrok exposure. Think of it as a bridge between your AI tools and Wikipedia's vast knowledge base—without the usual setup headaches.

How to Use MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment?

  1. Install dependencies via Colab cell: !pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio
  2. Add your Ngrok authtoken: !ngrok config add-authtoken YOUR_TOKEN
  3. Run the server script to expose the API endpoint
  4. Query via the provided endpoint to get instant Wikipedia summaries

MCP-Wikipedia-API-Server Features

Key Features of MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment?

  • Zero-friction deployment: Works out-of-the-box on Google Colab
  • MCP integration: Native compatibility with AI assistant frameworks
  • Lightning-fast responses: Leverages FastAPI's high performance
  • Secure exposure: Ngrok handles public access safely

Use Cases of MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment?

Perfect for:

  • Chatbots needing quick factual references
  • AI research prototyping requiring real-time data
  • Education tools for instant topic overviews
  • Personal assistants for on-the-go knowledge access

MCP-Wikipedia-API-Server FAQ

FAQ from MCP-Wikipedia-API-Server: Instant Summaries, No-Hassle Deployment?

Q: Does this work with any AI framework?

A: Yes, as long as the framework supports MCP protocol standards.

Q: Can I deploy this elsewhere besides Colab?

A: Absolutely, but Colab provides free GPU resources for quick starts.

Q: How secure is the Ngrok tunnel?

A: Ngrok provides secure HTTPS tunnels by default. Always restrict public access when deploying in production.

Q: What if my token expires?

A: Simply regenerate your Ngrok authtoken from your account dashboard and reconfigure.

Content

MCP-Wikipedia-API-Server

A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants, deployed using Google Colab and Ngrok. This project implements a Model Context Protocol (MCP) server using FastAPI to allow AI assistants to fetch Wikipedia summaries. The server is deployed on Google Colab and exposed via Ngrok.

Features

Fetches Wikipedia summaries based on user queries
Runs as an MCP-compatible server for AI interactions
Uses FastAPI and Wikipedia API
Works with Google Colab + Ngrok for quick deployment

How to Run in Google Colab

Install Required Dependencies

Run this command in a Colab cell:

!pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio

Authenticate Ngrok

Run this command in a Colab cell:

!ngrok config add-authtoken YOUR_TOKEN

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