Model Context Protocol

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Jlowin

The fast, Pythonic way to build Model Context Protocol servers 🚀

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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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Punkpeye

A TypeScript framework for building MCP servers.

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Modelcontextprotocol

An MCP server implementation that integrates the Brave Search API, providing both web and local search capabilities.

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MetoroIo

Write Model Context Protocol servers in few lines of go code. Docs at https://mcpgolang.com

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HarisMusa

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

✨ Just Added

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claude-task-master

2 weeks ago
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eyaltoledano

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

GitMCP

2 weeks ago
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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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upstash

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

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Baba786 logo
Baba786·cloud

A Model Context Protocol (MCP) server implementation for interacting with Phabricator API. This server allows LLMs to interact with Phabricator through a standardized interface.

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Executeautomation·cloud

A Model Context Protocol server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

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Modelcontextprotocol·on-premise

A Model Context Protocol server that provides read-only access to PostgreSQL databases. This server enables LLMs to inspect database schemas and execute read-only queries.

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Delano·cloud

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.

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Modelcontextprotocol·cloud

A Model Context Protocol server that provides browser automation capabilities using Puppeteer. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

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RHuijts·cloud

A Model Context Protocol (MCP) server that provides access to the Rijksmuseum's collection through natural language interactions. This server enables AI models to explore, analyze, and interact with artworks and collections from the Rijksmuseum.

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Hannesrudolph·cloud

An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQLite databases with built-in safety features and query validation.

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Modelcontextprotocol·on-premise

A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.

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.