Model Context Protocol

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Secretiveshell

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

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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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Sparfenyuk

Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server using the MCP Proxy server.

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Blazickjp

A Model Context Protocol server for searching and analyzing arXiv papers

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Jetbrains

A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio

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Domdomegg

Airtable Model Context Protocol Server, for allowing AI systems to interact with your Airtable bases

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Kimtth logo
KimtthΒ·cloud

A minimal Model Context Protocol πŸ–₯️ server/clientπŸ§‘β€πŸ’»with Azure OpenAI and 🌐 web browser control via Playwright.

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GotoolkitsΒ·cloud

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.

Jetbrains logo
JetbrainsΒ·cloud

A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio

Sparfenyuk logo
SparfenyukΒ·cloud

Connect to MCP servers that run on SSE transport, or expose stdio servers as an SSE server using the MCP Proxy server.

chatmcp logo
chatmcpΒ·cloud

This MCP Server is used to summarize your chat messages.

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AbdelstarkΒ·cloud

A Nostr MCP server that allows to interact with Nostr, enabling posting notes, and more.

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.