📌Overview

Purpose: The framework aims to provide a standardized protocol for AI models like Claude to securely access and interact with various local and remote resources.

Overview: The Model Context Protocol (MCP) is an open protocol designed to extend the capabilities of AI assistants through a collection of optimized server implementations. These servers facilitate interactions through file access, database connections, API integrations, and other contextual services, enhancing the functionality of AI models significantly.

Key Features:

File Systems: Enables secure access and management of files across both local and cloud storage systems, supporting various implementations like Google Drive and local file operations.
Search Engines: Provides real-time access to web information and specialized search functionalities through integrations with popular search APIs, enhancing the AI's ability to fetch contemporary data.
Databases: Allows querying and analyzing data securely, maintaining schema inspection and operational features for systems like PostgreSQL and SQLite, ensuring robust data management capabilities.
Extended Capabilities: Supports additional functionalities such as memory retention across sessions, version control system enhancements, cloud service interactions, communication platform integration, web automation, and geographic data access.

Awesome Claude MCP Servers 🤖

A curated list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants.

About MCP
Getting Started
Core Servers
Extended Capabilities
Development Tools
Community Resources

About MCP

Model Context Protocol (MCP) is an open protocol enabling AI models like Claude to securely interact with local and remote resources through standardized server implementations. These servers extend Claude's capabilities through file access, database connections, API integrations, and other contextual services.

Getting Started

📚 Model Context Protocol (MCP) Quickstart: https://glama.ai/blog/2024-11-25-model-context-protocol-quickstart
💬 Discord Community: https://discord.gg/TFE8FmjCdS

Legend

Core Servers

File Systems 📂

Access and manage files securely across local and cloud storage systems.

@modelcontextprotocol/server-filesystem 📱 🏠 - Local file system operations with configurable permissions
@modelcontextprotocol/server-google-drive 📱 ☁️ - Google Drive integration for file management
mark3labs/mcp-filesystem-server 🏃 🏠 - Go-based implementation for local file access

Search Engines 🔍

Access real-time web information and specialized search capabilities.

exa-labs/exa-mcp-server 🏆 📱 ☁️ - Real-time web search using Exa AI Search API
@modelcontextprotocol/server-brave-search 📱 ☁️ - Web search via Brave's Search API
ac3xx/mcp-servers-kagi 📱 ☁️ - Integration with Kagi search engine
blazickjp/arxiv-mcp-server 🐍 ☁️ - Research paper search through ArXiv

Databases 🗄️

Query and analyze data while maintaining security.

@modelcontextprotocol/server-postgres 📱 🏠 - PostgreSQL integration with schema inspection
@modelcontextprotocol/server-sqlite 🐍 🏠 - SQLite operations with analysis features

Extended Capabilities

Knowledge & Memory 🧠

Maintain context and information across sessions.

@modelcontextprotocol/server-memory 📱 🏠 - Knowledge graph-based persistent memory system

Version Control 📊

Manage code repositories and development workflows.

@modelcontextprotocol/server-github 📱 ☁️ - GitHub integration for repos and issues
@modelcontextprotocol/server-gitlab 📱 ☁️ - GitLab platform management
@modelcontextprotocol/server-git 🐍 🏠 - Direct Git repository operations

Cloud Integration ☁️

Interact with cloud infrastructure services.

Cloudflare MCP Server 🏆 📱 ☁️ - Access to Cloudflare services including Workers and KV

Communication 💬

Integrate with team communication platforms.

@modelcontextprotocol/server-slack 📱 ☁️ - Slack workspace and channel management

Browser Automation 🌐

Access and process web content programmatically.

@modelcontextprotocol/server-puppeteer 📱 🏠 - Web automation and scraping
@modelcontextprotocol/server-youtube 📱 ☁️ - YouTube subtitle extraction

Location Services 🗺️

Access geographic and mapping data.

@modelcontextprotocol/server-google-maps 📱 ☁️ - Maps integration for location and routing

Monitoring 📈

Track application performance and errors.

@modelcontextprotocol/server-sentry 🐍 ☁️ - Error tracking via Sentry.io
@modelcontextprotocol/server-raygun 📱 ☁️ - Crash reporting through Raygun

Development Tools

Frameworks 🛠️

Tools for building and extending MCP capabilities.

Genkit MCP 📱 - Integration between Genkit and MCP
@modelcontextprotocol/server-langchain 🐍 - LangChain integration for MCP tools
mark3labs/mcp-go 🏃 - Go SDK for MCP development

Integration Tools 🔧

Specialized tools for specific platforms and use cases.

pierrebrunelle/mcp-server-openai 🐍 ☁️ - OpenAI models integration
@modelcontextprotocol/server-everything 📱 🏠 - Comprehensive MCP feature testing
calclavia/mcp-obsidian 📱 🏠 - Obsidian vault integration
rusiaaman/wcgw 🐍 🏠 - Shell execution and computer control

Community Resources

Want to ask Claude about Model Context Protocol? Add this file to your project:
Claude MCP Instructions: https://raw.githubusercontent.com/win4r/Awesome-Claude-MCP-Servers/refs/heads/main/llms-full.txt

Awesome-Claude-MCP-Servers