MCP AI Agents LAB
by techySPHINX
A suite of advanced projects that explore, implement, and document AI agent architectures powered by standardized context protocols. This repository serves as a unified hub for cutting-edge MCP-based agent systems, with full documentation, protocol guides, and open-source tools.
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What is MCP AI Agents LAB?
The MCP AI Agents LAB is a collection of projects focused on building AI agents that communicate using the Model Context Protocol (MCP). It provides tools, frameworks, and examples for creating modular and interoperable agents.
How to use MCP AI Agents LAB?
To use this repository, clone the repo, install the requirements, and explore the example agents. Refer to the documentation for guides on building MCP agents, formatting messages, and chaining contexts. Start with the 'Getting Started Guide' for a comprehensive introduction.
Key features of MCP AI Agents LAB
MCP Agent Framework
MCP Message Handler
Dataset Tools
Context Chain Builder
MCP Proxy Layer
Example Agents
Use cases of MCP AI Agents LAB
Building task executors
Creating summarization agents
Developing AI planners
Connecting agents with APIs
Integrating with LLMs and RAG systems
Converting real-world context data
FAQ from MCP AI Agents LAB
What is Model Context Protocol (MCP)?
What is Model Context Protocol (MCP)?
MCP is a standardized protocol for AI agents to communicate and share context.
What are the key requirements to run the projects?
What are the key requirements to run the projects?
You need Python 3.10+ and dependencies like pydantic, requests, and fastapi. Optional dependencies include torch and transformers for LLM-backed agents.
Where can I find the official MCP specification?
Where can I find the official MCP specification?
The official MCP specification can be found at https://modelcontext.org/spec
How can I contribute to the project?
How can I contribute to the project?
Contributions are welcome! Please refer to the contribution guidelines for more information.
Where can I ask questions and get support?
Where can I ask questions and get support?
You can ask questions and get support on the MCP Community Forum at https://community.modelcontext.org