AutoGen MCP Server provides a bridge between the Model Context Protocol and Microsoft's AutoGen framework, enabling AI assistants to create and manage autonomous agents that can execute code, perform research, and collaborate in multi-agent conversations. Built with TypeScript and Python, this implementation exposes AutoGen's powerful agent capabilities through standardized tools for creating agents, executing one-on-one chats, running group conversations, and executing predefined workflows like code generation and research tasks. The server handles configuration management, agent lifecycle, and conversation orchestration, making it ideal for developers building complex AI systems that require autonomous problem-solving and multi-agent collaboration.
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Create agents with advanced configurations.
Build complete multi-agent workflows.
Detailed agent metrics and health monitoring.
Enhanced two-agent conversations.
Multi-agent group discussions.
Hierarchical conversation structures.
Swarm-based collaborative problem solving.
Run predefined workflow templates.
Handle agent learning and persistence.
Enable/configure agent learning capabilities.
