ai-llm-mcp-research

Artificial Intelligence, Large Language Model, and Model Context Protocol Research Repository

DISCLAIMER

Please use extreme caution when installing any code on your system that you have not personally reviewed or vetted.

This rule holds especially true when giving LLMs the agency to act on your behalf.

It is even more pertinent in the context of an "un-siloed" environment or with unfettered internet access.

This repository is being actively curated and will undergo changes. By including an MCP in this list, I am not vouching for its safety or efficacy.

Large Language Models (LLMs)

Frameworks, Best Practices, & Basic Information

Anthropic Docs

Articles

Memory BankL How to Make Cline an AI Agent That Never Forgets

Model Context Protocol (MCP)

Servers, Clients, Frameworks, & Documentation

How Do I Start Using & Developing MCPs? What is an MCP?

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

Note: This section is primarily focused on MCP servers, if you aren't familiar with MCP clients...

I would start: Learning More about the Model Context Protocol at the Official Github Repository
Then visit: Model Context Protocol Official Repository
And read the Model Context Protocol Section of this README for servers recommended by the folks behind it!

Actively Testing

Currently In Use in Development Workflows (for Hobby Projects)

Actively Researching

Currently Familiarizing Myself with Available Documentation & Community Input

Model Context Protocol Servers Repository README Index

Links to Specific Sections of the MCP Repo's README

MCP Servers