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MCP API Server
An MCP server based on FastAPI for obtaining Wikipedia summaries, supporting AI assistant interaction, and can be quickly deployed via Google Colab and Ngrok.
rating : 2 points
downloads : 8.7K
What is the MCP Wikipedia API Server?
This is a server built on the FastAPI framework, specifically designed to interact with AI assistants. It provides Wikipedia summary query services through the Model Context Protocol (MCP) standard, enabling AI assistants to access accurate knowledge information.How to use the MCP Wikipedia API Server?
You can obtain Wikipedia summaries through simple API calls. The server is deployed on Google Colab and provides public access via Ngrok, eliminating the need for complex server configuration.Use Cases
Suitable for AI assistants that need to quickly obtain knowledge summaries, educational application development, or any intelligent system that requires the integration of Wikipedia knowledge.Main Features
Wikipedia Summary Query
Return a concise and accurate summary of Wikipedia content based on user queries
MCP-Compatible Interface
Follow the Model Context Protocol standard to ensure compatibility with various AI assistants
Rapid Deployment
Achieve one-click deployment via Google Colab and Ngrok without complex configuration
Advantages
No server maintenance required, use Google Colab's free resources
Simple and fast deployment, suitable for rapid prototype development
Provide a standardized MCP interface for easy integration
Limitations
Rely on the free services of Google Colab and Ngrok, which may have performance limitations
Free Ngrok connections change periodically, not suitable for production environments
Only support English Wikipedia content
How to Use
Install Dependencies
Run the installation command in Google Colab to prepare the necessary Python libraries
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Configure Ngrok Authentication
Add your Ngrok authentication token to enable the tunnel service
Start the Server
Run the server script and obtain the public URL provided by Ngrok
Usage Examples
AI Knowledge Q&A
When answering user questions, the AI assistant obtains authoritative knowledge summaries through this service
Educational Application Integration
Educational applications integrate this service to provide students with quick references to knowledge points
Frequently Asked Questions
Is it free to use?
Which languages of content are supported?
How to ensure the stability of the service?
Related Resources
FastAPI Official Documentation
Documentation for the Python framework for building API services
Ngrok Usage Guide
How to configure and use the Ngrok tunnel service
Wikipedia-API Library
Python Wikipedia API client library
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