Awesome Claude Mcp Servers
What is Awesome Claude Mcp Servers
Model Context Protocol (MCP) is an open protocol designed for AI models like Claude to interact with various resources, both local and remote, through a standardized server architecture. It enhances the capabilities of AI assistants by enabling secure access to files, databases, APIs, and other contextual services.
Use cases
MCP can be utilized in various domains, such as file management, real-time web searching, data querying, memory maintenance, code version control, cloud integration, communication, web automation, location services, and performance monitoring. Its extensive range of capabilities supports diverse applications across different industries.
How to use
To get started with MCP, developers can refer to the quickstart guide available online. They can set up their chosen MCP servers based on their requirements, explore integration options with platforms like GitHub or Slack, and leverage community resources such as Discord for assistance. Additionally, integrating the provided instructions file into projects allows direct interaction with Claude regarding MCP functionalities.
Key features
Key features of MCP include seamless file system access, real-time search capabilities, secure database connections, persistent memory management, version control for code repositories, cloud service integration, automated web interactions, geographic information access, and application performance monitoring. The protocol supports multiple programming languages and deployment environments.
Where to use
MCP can be implemented in local environments for personal projects, cloud platforms for scalable applications, and enterprise systems requiring secure data management and real-time integrations. Its versatility enables use in software development, research, team collaboration, and more, facilitating enhanced productivity and resource management.
Overview
What is Awesome Claude Mcp Servers
Model Context Protocol (MCP) is an open protocol designed for AI models like Claude to interact with various resources, both local and remote, through a standardized server architecture. It enhances the capabilities of AI assistants by enabling secure access to files, databases, APIs, and other contextual services.
Use cases
MCP can be utilized in various domains, such as file management, real-time web searching, data querying, memory maintenance, code version control, cloud integration, communication, web automation, location services, and performance monitoring. Its extensive range of capabilities supports diverse applications across different industries.
How to use
To get started with MCP, developers can refer to the quickstart guide available online. They can set up their chosen MCP servers based on their requirements, explore integration options with platforms like GitHub or Slack, and leverage community resources such as Discord for assistance. Additionally, integrating the provided instructions file into projects allows direct interaction with Claude regarding MCP functionalities.
Key features
Key features of MCP include seamless file system access, real-time search capabilities, secure database connections, persistent memory management, version control for code repositories, cloud service integration, automated web interactions, geographic information access, and application performance monitoring. The protocol supports multiple programming languages and deployment environments.
Where to use
MCP can be implemented in local environments for personal projects, cloud platforms for scalable applications, and enterprise systems requiring secure data management and real-time integrations. Its versatility enables use in software development, research, team collaboration, and more, facilitating enhanced productivity and resource management.
Content
Awesome Claude MCP Servers π€ 
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A curated list of Model Context Protocol (MCP) servers optimized for Claude and other AI assistants.
Contents
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 Claudeβs capabilities through file access, database connections, API integrations, and other contextual services.
Getting Started
Legend
π Official Implementation | π Python | π± TypeScript | π Go | βοΈ Cloud Service | π Local Service
Core Servers
File Systems π
Access and manage files securely across local and cloud storage systems.
- @modelcontextprotocol/server-filesystem π± π - Local file system operations with configurable permissions
- @modelcontextprotocol/server-google-drive π± βοΈ - Google Drive integration for file management
- mark3labs/mcp-filesystem-server π π - Go-based implementation for local file access
Search Engines π
Access real-time web information and specialized search capabilities.
- exa-labs/exa-mcp-server π π± βοΈ - Real-time web search using Exa AI Search API
- @modelcontextprotocol/server-brave-search π± βοΈ - Web search via Braveβs Search API
- ac3xx/mcp-servers-kagi π± βοΈ - Integration with Kagi search engine
- blazickjp/arxiv-mcp-server π βοΈ - Research paper search through ArXiv
Databases ποΈ
Query and analyze data while maintaining security.
- @modelcontextprotocol/server-postgres π± π - PostgreSQL integration with schema inspection
- @modelcontextprotocol/server-sqlite π π - SQLite operations with analysis features
Extended Capabilities
Knowledge & Memory π§
Maintain context and information across sessions.
- @modelcontextprotocol/server-memory π± π - Knowledge graph-based persistent memory system
Version Control π
Manage code repositories and development workflows.
- @modelcontextprotocol/server-github π± βοΈ - GitHub integration for repos and issues
- @modelcontextprotocol/server-gitlab π± βοΈ - GitLab platform management
- @modelcontextprotocol/server-git π π - Direct Git repository operations
Cloud Integration βοΈ
Interact with cloud infrastructure services.
- Cloudflare MCP Server π π± βοΈ - Access to Cloudflare services including Workers and KV
Communication π¬
Integrate with team communication platforms.
- @modelcontextprotocol/server-slack π± βοΈ - Slack workspace and channel management
Browser Automation π
Access and process web content programmatically.
- @modelcontextprotocol/server-puppeteer π± π - Web automation and scraping
- @modelcontextprotocol/server-youtube π± βοΈ - YouTube subtitle extraction
Location Services πΊοΈ
Access geographic and mapping data.
- @modelcontextprotocol/server-google-maps π± βοΈ - Maps integration for location and routing
Monitoring π
Track application performance and errors.
- @modelcontextprotocol/server-sentry π βοΈ - Error tracking via Sentry.io
- @modelcontextprotocol/server-raygun π± βοΈ - Crash reporting through Raygun
Development Tools
Frameworks π οΈ
Tools for building and extending MCP capabilities.
- Genkit MCP π± - Integration between Genkit and MCP
- @modelcontextprotocol/server-langchain π - LangChain integration for MCP tools
- mark3labs/mcp-go π - Go SDK for MCP development
Integration Tools π§
Specialized tools for specific platforms and use cases.
- pierrebrunelle/mcp-server-openai π βοΈ - OpenAI models integration
- @modelcontextprotocol/server-everything π± π - Comprehensive MCP feature testing
- calclavia/mcp-obsidian π± π - Obsidian vault integration
- rusiaaman/wcgw π π - Shell execution and computer control
Community Resources
Want to ask Claude about Model Context Protocol? Add this file to your project:
Claude MCP Instructions