AutoGen MCP Server
Orchestrate Microsoft AutoGen multi-agent workflows — manage sessions, agent roles, workflows, and monitor execution logs from any AI agent.
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Microsoft AutoGen MCP Server : voyez votre AI Agent en action
Capacités intégrées (10)
create_agent
Define a new customized AutoGen agent
create_message
Send a user message to initiate or continue an AutoGen session
create_session
Create a new blank AutoGen session
delete_session
Permanently delete an AutoGen session
list_agents
List all configured AutoGen agents available
list_messages
Retrieve the message history for a specific AutoGen session
list_models
List Large Language Models configured for use in AutoGen
list_sessions
List AutoGen Studio conversation sessions
list_skills
List Python skill functions available to AutoGen agents
list_workflows
List all predefined AutoGen multi-agent workflows
Ce que ce connecteur débloque
Connect your AutoGen Studio instance to any AI agent and take full control of your multi-agent topologies and execution memory spaces through natural conversation.
What you can do
- Sessions — Create and manage blank, isolated memory spaces for your multi-agent workflows to run cleanly
- Messages — Dispatch human prompts and retrieve deep agent-to-agent conversational traces inside Microsoft's logging structures
- Agents — Map out and dynamically define customized LLM roles (User_Proxy, Coder, Critic) using Python-based parameters
- Workflows & Skills — Visualize routing topographies, available graph deployments, and injected native Python capabilities
- Models — Audit existing constrained fallback OpenAI configurations natively stored in the engine
How it works
1. Subscribe to this server
2. Provide your AutoGen Studio instance Base URL
3. Start dispatching nested groups of AI agents directly from Claude, Cursor, or any MCP-compatible client
Your primary agent can now command and debug secondary swarms of specialized agents dynamically.
Who is this for?
- AI Engineers — audit running agent topologies, trace deep execution logs, and iterate on Python skills without swapping contexts
- Product Managers — verify the health and steps of automated backend swarm operations
- Researchers — easily extract deep LLM-to-LLM conversational histories across experimental boundaries for grading
Questions fréquemment posées
Donnez à vos agents IA la puissance de Microsoft AutoGen
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