MCP Agent Graph (MAG) is an agent development framework for rapidly building agent systems. This project is based on graphs, nodes, and MCP to quickly construct complex Agent systems.
Overview
What is MCP Agent Graph?
MCP Agent Graph (MAG) is an agent development framework designed for rapidly building complex agent systems using a graph-based approach.
How to use MCP Agent Graph?
To use MAG, clone the repository from GitHub, install the necessary dependencies, and run the main application. You can visually create agent workflows using the provided graph editor.
Key features of MCP Agent Graph?
- Graph-Based Agent Development Framework for intuitive design.
- Nodes as independent agents that utilize MCP server capabilities.
- Support for graph nesting to create hierarchical agent architectures.
- Ability to export graphs as standalone MCP server Python scripts.
Use cases of MCP Agent Graph?
- Designing complex agent systems for automation tasks.
- Creating modular and reusable agent components.
- Integrating with MCP servers for enhanced capabilities like web search and data analysis.
FAQ from MCP Agent Graph?
- Can I contribute to the project?
Yes! Contributions are welcome to help improve MAG.
- What programming language is used?
The project is developed in Python.
- Is there a visual interface for building agents?
Yes! MAG provides a visual agent graph editor for designing workflows.