Model Context Protocol

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Grafana

MCP server for Grafana

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Punkpeye

A TypeScript SSE proxy for MCP servers that use stdio transport.

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Secretiveshell

A middleware to provide an openAI compatible endpoint that can call MCP tools

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LastmileAi

A simple, composable framework to build agents using Model Context Protocol and simple workflow patterns

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Ferrislucas

A Model Context Protocol server that executes commands in the current iTerm session - useful for REPL and CLI assistance

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Punkpeye

A TypeScript framework for building MCP servers.

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Pyroprompts·cloud

Integrate Claude with Any OpenAI SDK Compatible Chat Completion API - OpenAI, Perplexity, Groq, xAI, PyroPrompts and more. This is a TypeScript-based MCP server that implements an implementation into any OpenAI SDK Compatible Chat Completions API.

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Sirmews·cloud

Read your Apple Notes with Claude Model Context Protocol

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Hmk·cloud

This is an MCP server for Attio, the AI-native CRM. It allows mcp clients (like Claude) to connect to the Attio API.

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Jasonjmcghee·cloud

Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension

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IvoToby·cloud

MCP (Model Context Protocol) server for the Contentful Management API

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Quantgeekdev·cloud

A docker MCP Server (modelcontextprotocol) for seamless container and compose stack management through Claude AI.

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Nickclyde·cloud

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

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HarisMusa·cloud

A Model Context Protocol server for Excel file manipulation. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.

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.