Mcpagents
What is Mcpagents
MCPAgents is a project that provides various agents and explorations related to the MCP (Multi-Agent Control) framework and AG2 (Agent Generation 2).
Use cases
Use cases for MCPAgents include developing and testing multi-agent systems, conducting research in agent-based modeling, and educational demonstrations for students learning about agent interactions.
How to use
To use MCPAgents, clone the repository from GitHub, navigate to the MCPAgents directory, run the installer script, and launch Jupyter Lab to run the provided notebooks.
Key features
Key features of MCPAgents include support for Python 3.12, integration with Jupyter Lab for interactive exploration, and a collection of various agents designed for different scenarios.
Where to use
MCPAgents can be used in fields such as artificial intelligence, robotics, simulation environments, and educational purposes for understanding multi-agent systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcpagents
MCPAgents is a project that provides various agents and explorations related to the MCP (Multi-Agent Control) framework and AG2 (Agent Generation 2).
Use cases
Use cases for MCPAgents include developing and testing multi-agent systems, conducting research in agent-based modeling, and educational demonstrations for students learning about agent interactions.
How to use
To use MCPAgents, clone the repository from GitHub, navigate to the MCPAgents directory, run the installer script, and launch Jupyter Lab to run the provided notebooks.
Key features
Key features of MCPAgents include support for Python 3.12, integration with Jupyter Lab for interactive exploration, and a collection of various agents designed for different scenarios.
Where to use
MCPAgents can be used in fields such as artificial intelligence, robotics, simulation environments, and educational purposes for understanding multi-agent systems.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Various agents and explorations with MCP and AG2
Authors: Licong Xu and Boris Bolliet (Cambridge)
Getting started
We recommend using Python 3.12 or 3.13.
git clone https://github.com/CMBAgents/MCPAgents.git
cd MCPAgents
chmod +x installer.sh
source installer.sh
jupyter-lab
You can the run the notebooks (make sure you select the mcp_env kernel in jupyter lab).
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
