Model Context Protocol
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An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.
This Model Context Protocol server implementation of Asana allows you to talk to Asana API from MCP Client such as Anthropic's Claude Desktop Application, and many more.
MCP Server for Alpha Advantage API
A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.
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A Model Context Protocol (MCP) server that provides access to the Strava API. It allows language models to query athlete activities data from the Strava API.
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
A Model Context Protocol (MCP) server for querying the VirusTotal API. This server provides comprehensive security analysis tools with automatic relationship data fetching. It integrates seamlessly with MCP-compatible applications like Claude Desktop.
A coincap mcp server to access crypto data from coincap API
A Model Context Protocol server for DuckDuckGo Search. This is a TypeScript-based MCP server that provides DuckDuckGo search functionality. It demonstrates core MCP concepts.
The fast, Pythonic way to build Model Context Protocol servers 🚀
A flexible HTTP fetching Model Context Protocol server.
Hacker news MCP server
MCP server for querying the Shodan API
Understanding Model Context Protocol (MCP)
Model Context Protocol (MCP) is a groundbreaking open-source protocol developed by Anthropic that revolutionizes how AI systems interact with external data sources. As the foundation for next-generation AI interactions, MCP enables AI assistants like Claude to establish secure and standardized connections with various data sources and tools.
Key Features of MCP
- Universal Standard: Provides a unified framework for AI systems to access external data, tools, and prompts
- Client-Server Architecture: Implements a robust and scalable architecture for seamless AI interactions
- Security-First Design: Ensures secure data transmission and access control between AI systems and data sources
- Tool Integration: Enables AI assistants to interact with various external tools and services
- Standardized Communication: Establishes consistent protocols for data exchange and interaction patterns
Benefits for AI Development
MCP represents a significant advancement in AI infrastructure, offering developers and organizations a standardized way to build and deploy AI applications. By providing a common protocol, MCP reduces implementation complexity and ensures compatibility across different AI systems and data sources.
Whether you're developing AI applications, managing data infrastructure, or implementing AI solutions, MCP provides the foundation for secure, efficient, and standardized AI interactions. Explore our directory to find MCP servers that match your specific needs and requirements.