Model Context Protocol
🔥 Top Viewed This Week
by Tag: ModelContextProtocol
MCP-Bridge
19
A middleware to provide an openAI compatible endpoint that can call MCP tools
mcp-golang
13
Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com
Search by server name, description, or features
Popular Tags
A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases
A Model Context Protocol (MCP) server that provides access to NS (Dutch Railways) travel information through Claude AI. This server enables Claude to fetch real-time train travel information and disruptions using the official Dutch NS API.
A Model Context Protocol (MCP) server that empowers LLMs to use some of Open Srategy Partners' core writing and product marketing techniques.
An MCP server that provides access to Postman. Functionality is based on the official OpenAPI specification. This project is part of the Model Context Protocol (MCP) initiative from Anthropic.
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.
Upsonic is a reliability-focused framework designed for real-world AI agent applications. It utilizes the Model Context Protocol (MCP) to leverage diverse tools and offers features for browser and computer use integration, as well as a secure runtime environment.
Model Context Protocol (MCP) Server for Apify's Actors
Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases
Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension
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.