awesome-mcp
by aimcp
A curated list of Model Context Protocol (MCP) servers. These servers enable Large Language Models (LLMs) to interact with various services and data sources.
Last updated: N/A
What is awesome-mcp?
This is a collection of Model Context Protocol (MCP) servers designed to extend the capabilities of Large Language Models (LLMs) by providing access to external services, data sources, and tools. MCP servers act as intermediaries, translating LLM requests into actions on these external systems and relaying the results back to the LLM.
How to use awesome-mcp?
To use an MCP server, you'll need to deploy it and configure it to connect to the relevant service or data source. Then, you can configure your LLM application to communicate with the MCP server using the Model Context Protocol. Each server has specific instructions in its repository.
Key features of awesome-mcp
Extends LLM capabilities
Provides access to external services
Enables data retrieval and manipulation
Supports various programming languages (TypeScript, Python)
Use cases of awesome-mcp
Web content fetching and processing
Database interaction and analysis
Code repository management
Integration with cloud services (AWS, Google Drive, Slack)
FAQ from awesome-mcp
What is MCP?
What is MCP?
Model Context Protocol is a protocol that allows LLMs to interact with external tools and services.
How do I contribute a server?
How do I contribute a server?
Submit a pull request with the server details.
What programming languages are supported?
What programming languages are supported?
TypeScript and Python are commonly used, but other languages can be used as well.
Where can I find documentation for MCP?
Where can I find documentation for MCP?
Refer to the Model Context Protocol documentation for details on the protocol.
Are these servers production-ready?
Are these servers production-ready?
The maturity of each server may vary. Check the individual server's repository for details.