MCP Servers Collection

This repository contains a collection of Model Context Protocol (MCP) servers, each providing unique functionality to enhance AI assistants like Claude.

Available Servers

Serper MCP Server

A comprehensive search and location server that integrates with the Serper API, providing:

• Web Search: General queries, knowledge graphs, people also ask, and more
• News Search: Articles, press releases, and timely content with source information
• Image Search: Photos, diagrams, logos, and other visual content
• Video Search: Videos from YouTube and other platforms
• Maps Search: Places, businesses, and points of interest with detailed information
• Reviews Search: Detailed user reviews and ratings for businesses and places
• Web Scraping: Extract and format content from any web page found in search results
• Location Services: Get current GPS coordinates for location-aware searches

See the serper-mcp-server directory for detailed documentation.

What are MCP Servers?

Model Context Protocol (MCP) servers allow large language models like Claude to interact with external tools, APIs, and data sources. They:

• Enable AI assistants to access real-time information
• Allow for structured data retrieval and specialized functions
• Provide standardized interfaces for tool use
• Extend the capabilities of LLMs beyond their training data

Adding New Servers

This repository will continue to grow with additional specialized MCP servers. Planned additions include:

• Database interaction servers
• Code execution environments
• Specialized API integrations
• Media processing tools

Configuration

Each server has its own configuration requirements. See the individual server directories for specific setup instructions.

Usage with Claude

MCP servers can be used with Claude through Claude Desktop and other compatible interfaces. Each server provides detailed instructions for setup and usage.

Contributing

Contributions are welcome! If you have ideas for new MCP servers or improvements to existing ones, please feel free to:

1. Fork the repository
2. Create a feature branch
3. Submit a pull request

License

All servers in this collection are licensed under the MIT License. See the LICENSE file for details.