Model Context Protocol

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Modelcontextprotocol

A Model Context Protocol server that provides web content fetching capabilities. This server enables LLMs to retrieve and process content from web pages, converting HTML to markdown for easier consumption.

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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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Blazickjp

A Model Context Protocol server for searching and analyzing arXiv papers

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eyaltoledano

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

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Neo4jContrib

Model Context Protocol with Neo4j. This server provides natural language interaction with Neo4j and Aura accounts.

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Mark3labs

A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).

✨ Just Added

Most recent additions

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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DevflowincΒ·cloud

A Model Context Protocol (MCP) server that provides agentic tools for interacting with the Trieve API. This server enables AI agents to search and interact with Trieve datasets through a standardized interface.

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.