Model Context Protocol

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Jlowin

The fast, Pythonic way to build Model Context Protocol servers πŸš€

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Sooperset

Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). This integration supports both Atlassian Cloud and Jira Server/Data Center deployments.

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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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Pskill9

A Model Context Protocol (MCP) server that enables free web searching using Google search results, with no API keys required.

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Punkpeye

A TypeScript framework for building MCP servers.

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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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zen-mcp-server

6 days ago
BeehiveInnovations logo
BeehiveInnovations

The power of Claude Code + [Gemini / OpenAI / Grok / OpenRouter / Ollama / Custom Model / All Of The Above] working as one.

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eyaltoledano

An AI-powered task-management system you can drop into Cursor, Lovable, Windsurf, Roo, and others.

GitMCP

5/27/2025
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idosal

Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

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Nick1udwig logo
Nick1udwigΒ·cloud

Wrap MCP stdio servers with a WebSocket. For use with kibitz.

BeehiveInnovations logo
BeehiveInnovationsΒ·cloud

The power of Claude Code + [Gemini / OpenAI / Grok / OpenRouter / Ollama / Custom Model / All Of The Above] working as one.

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.