Ai Llm Mcp Research
What is Ai Llm Mcp Research
ai-llm-mcp-research is a research repository focused on Artificial Intelligence, Large Language Models (LLMs), and the Model Context Protocol (MCP). It serves as a platform for exploring best practices, frameworks, and documentation related to LLMs and MCP.
Use cases
Use cases for ai-llm-mcp-research include developing AI agents that can perform tasks autonomously, enhancing user interactions through improved prompt engineering, and experimenting with different MCP implementations in development workflows.
How to use
To use ai-llm-mcp-research, users should review the provided documentation and links to MCP client/server repositories. It is recommended to familiarize oneself with the Model Context Protocol through the official GitHub repository before engaging with the code.
Key features
Key features of ai-llm-mcp-research include access to best practices for agentic coding, prompt engineering guidelines, and links to various MCP client/server repositories. It also provides a curated list of resources for actively testing and researching MCP applications.
Where to use
ai-llm-mcp-research can be utilized in various fields such as software development, AI research, and hobby projects that involve the implementation of Large Language Models and the Model Context Protocol.
Overview
What is Ai Llm Mcp Research
ai-llm-mcp-research is a research repository focused on Artificial Intelligence, Large Language Models (LLMs), and the Model Context Protocol (MCP). It serves as a platform for exploring best practices, frameworks, and documentation related to LLMs and MCP.
Use cases
Use cases for ai-llm-mcp-research include developing AI agents that can perform tasks autonomously, enhancing user interactions through improved prompt engineering, and experimenting with different MCP implementations in development workflows.
How to use
To use ai-llm-mcp-research, users should review the provided documentation and links to MCP client/server repositories. It is recommended to familiarize oneself with the Model Context Protocol through the official GitHub repository before engaging with the code.
Key features
Key features of ai-llm-mcp-research include access to best practices for agentic coding, prompt engineering guidelines, and links to various MCP client/server repositories. It also provides a curated list of resources for actively testing and researching MCP applications.
Where to use
ai-llm-mcp-research can be utilized in various fields such as software development, AI research, and hobby projects that involve the implementation of Large Language Models and the Model Context Protocol.
Content
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
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
- @eyaltoledano’s Claude Task Master MCP
- @oraios’s SERENA (Semantic Retrieval & Editing Noetic Agent) MCP
- @wonderwhy-er’s DesktopCommanderMCP
- @upstash’s Context7 MCP
- @microsoft’s Playwright MCP
- @alioshr’s Memory Bank MCP
- @modelcontextprotocol’s Puppeteer MCP
- @luiyoshio’s MCP Compass MCP
- DuckDuckGo Search MCP
Model Context Protocol Servers Repository README Index
Links to Specific Sections of the MCP Repo’s README