AutoGen
Summary
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.
Available Actions(10)
create_agent
Create agents with advanced configurations.
create_workflow
Build complete multi-agent workflows.
get_agent_status
Detailed agent metrics and health monitoring.
execute_chat
Enhanced two-agent conversations.
execute_group_chat
Multi-agent group discussions.
execute_nested_chat
Hierarchical conversation structures.
execute_swarm
Swarm-based collaborative problem solving.
execute_workflow
Run predefined workflow templates.
manage_agent_memory
Handle agent learning and persistence.
configure_teachability
Enable/configure agent learning capabilities.
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