MCP-Wikipedia-API-Server
by Rishavv007
A FastAPI-MCP server that fetches Wikipedia summaries for AI assistants. It's deployed using Google Colab and Ngrok for easy access.
Last updated: N/A
What is MCP-Wikipedia-API-Server?
This is a Model Context Protocol (MCP) server built with FastAPI that retrieves Wikipedia summaries based on user queries. It's designed to provide AI assistants with contextual information.
How to use MCP-Wikipedia-API-Server?
To use this server, first deploy it on Google Colab following the instructions in the README. Install the required dependencies using !pip install fastapi uvicorn pyngrok requests wikipedia-api nest_asyncio and authenticate Ngrok with your token using !ngrok config add-authtoken YOUR_TOKEN. Then, send queries to the server's API endpoint to fetch Wikipedia summaries.
Key features of MCP-Wikipedia-API-Server
Fetches Wikipedia summaries based on user queries
Runs as an MCP-compatible server
Uses FastAPI and Wikipedia API
Works with Google Colab and Ngrok for quick deployment
Use cases of MCP-Wikipedia-API-Server
Providing AI assistants with contextual information from Wikipedia
Integrating Wikipedia summaries into chatbot responses
Enriching AI model training data with Wikipedia content
Building applications that require quick access to Wikipedia summaries
FAQ from MCP-Wikipedia-API-Server
What is MCP?
What is MCP?
MCP stands for Model Context Protocol, a standard for AI interactions.
What is FastAPI?
What is FastAPI?
FastAPI is a modern, high-performance web framework for building APIs with Python.
Why use Google Colab?
Why use Google Colab?
Google Colab provides a free and easy way to run Python code in the cloud.
Why use Ngrok?
Why use Ngrok?
Ngrok exposes your local server to the internet, allowing external access.
How do I get an Ngrok authtoken?
How do I get an Ngrok authtoken?
You can sign up for a free Ngrok account and obtain an authtoken from their dashboard.