MC

MCP-Wikipedia-API-Server

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

Created by Rishavv0072025/03/28
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What is MCP-Wikipedia-API-Server?

what is MCP-Wikipedia-API-Server? MCP-Wikipedia-API-Server is a FastAPI-based server that fetches Wikipedia summaries for AI assistants, enabling them to provide quick and relevant information. how to use MCP-Wikipedia-API-Server? To use the server, deploy it on Google Colab, authenticate Ngrok, and then send queries to fetch Wikipedia summaries. key features of MCP-Wikipedia-API-Server? Fetches Wikipedia summaries based on user queries Runs as an MCP-compatible server for AI interactions Utilizes FastAPI and Wikipedia API Quick deployment using Google Colab and Ngrok use cases of MCP-Wikipedia-API-Server? Enabling AI assistants to provide instant Wikipedia information Assisting in research by fetching relevant summaries Enhancing user interactions with AI through informative responses FAQ from MCP-Wikipedia-API-Server? Can this server handle multiple queries at once? Yes! The server is designed to handle multiple requests efficiently. Is there a limit to the number of summaries fetched? No, you can fetch as many summaries as needed, subject to Wikipedia's API usage policies. Do I need to pay for using Google Colab and Ngrok? Both services offer free tiers, but usage limits may apply.

As an MCP (Model Context Protocol) server, MCP-Wikipedia-API-Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP-Wikipedia-API-Server

To use the server, deploy it on Google Colab, authenticate Ngrok, and then send queries to fetch Wikipedia summaries. key features of MCP-Wikipedia-API-Server? Fetches Wikipedia summaries based on user queries Runs as an MCP-compatible server for AI interactions Utilizes FastAPI and Wikipedia API Quick deployment using Google Colab and Ngrok use cases of MCP-Wikipedia-API-Server? Enabling AI assistants to provide instant Wikipedia information Assisting in research by fetching relevant summaries Enhancing user interactions with AI through informative responses FAQ from MCP-Wikipedia-API-Server? Can this server handle multiple queries at once? Yes! The server is designed to handle multiple requests efficiently. Is there a limit to the number of summaries fetched? No, you can fetch as many summaries as needed, subject to Wikipedia's API usage policies. Do I need to pay for using Google Colab and Ngrok? Both services offer free tiers, but usage limits may apply.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP-Wikipedia-API-Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP-Wikipedia-API-Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.