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A curated list of awesome Model Context Protocol (MCP) servers.

What is MCP?

MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations. This list focuses on production-ready and experimental MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

Tutorials

Community

Legend

[!NOTE] Confused about Local 🏠 vs Cloud ☁️?

Server Implementations

[!NOTE] We now have a web-based directory that is synced with the repository.

📂 <a name="browser-automation"></a>Browser Automation

Web content access and automation capabilities. Enables searching, scraping, and processing web content in AI-friendly formats.

☁️ <a name="cloud-platforms"></a>Cloud Platforms

Cloud platform service integration. Enables management and interaction with cloud infrastructure and services.

🖥️ <a name="command-line"></a>Command Line

Run commands, capture output and otherwise interact with shells and command line tools.

💬 <a name="communication"></a>Communication

Integration with communication platforms for message management and channel operations. Enables AI models to interact with team communication tools.

👤 <a name="customer-data-platforms"></a>Customer Data Platforms

Provides access to customer profiles inside of customer data platforms

🗄️ <a name="databases"></a>Databases

Secure database access with schema inspection capabilities. Enables querying and analyzing data with configurable security controls including read-only access.

💻 <a name="developer-tools"></a>Developer Tools

Tools and integrations that enhance the development workflow and environment management.

🧮 Data Science Tools

Integrations and tools designed to simplify data exploration, analysis and enhance data science workflows.

📂 <a name="file-systems"></a>File Systems

Provides direct access to local file systems with configurable permissions. Enables AI models to read, write, and manage files within specified directories.

💰 <a name="finance--fintech"></a>Finance & Fintech

Financial data access and cryptocurrency market information. Enables querying real-time market data, crypto prices, and financial analytics.

🧠 <a name="knowledge--memory"></a>Knowledge & Memory

Persistent memory storage using knowledge graph structures. Enables AI models to maintain and query structured information across sessions.

🗺️ <a name="location-services"></a>Location Services

Geographic and location-based services integration. Enables access to mapping data, directions, and place information.

📊 <a name="monitoring"></a>Monitoring

Access and analyze application monitoring data. Enables AI models to review error reports and performance metrics.

🔎 <a name="search"></a>Search

🔒 <a name="security"></a>Security

🚆 <a name="travel-and-transportation"></a>Travel & Transportation

Access to travel and transportation information. Enables querying schedules, routes, and real-time travel data.

🔄 <a name="version-control"></a>Version Control

Interact with Git repositories and version control platforms. Enables repository management, code analysis, pull request handling, issue tracking, and other version control operations through standardized APIs.

🛠️ <a name="other-tools-and-integrations"></a>Other Tools and Integrations

Frameworks

Clients

Tips and Tricks

Official prompt to inform LLMs how to use MCP

Want to ask Claude about Model Context Protocol?

Create a Project, then add this file to it:

https://modelcontextprotocol.io/llms-full.txt

Now Claude can answer questions about writing MCP servers and how they work

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