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by ai.smithery
Create and manage AI agents that collaborate and solve problems through natural language interacti…
Server configuration and capabilities from the MCP manifest
Size: 4,165 bytes (1,042 tokens)
Tools Found: 5
Analysis ID: iaz9p2ts
This MCP server provides tools for creating and managing AutoGen agents, executing workflows, and monitoring agent status.
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Registry ID: 7250756b-9312-48f8-a2e2-b92f7b6268c7
Added to Registry: 9/21/2025
Last Updated: 9/22/2025
Last Seen: 9/22/2025
License: MIT License
Default Branch: master
Last Push: 9/17/2025
Open Issues: 2
Historical performance and growth metrics over time
{ "name": "enhanced-autogen-mcp", "tags": [], "tools": [ { "name": "create_autogen_agent", "description": "Create a new AutoGen agent using the latest Core architecture", "input_schema": { "type": "object", "required": [ "name", "type" ], "properties": { "name": { "type": "string", "description": "Unique name for the agent" }, "type": { "enum": [ "assistant", "user_proxy", "conversable", "workbench" ], "type": "string", "description": "Type of agent to create" }, "tools": { "type": "array", "items": { "type": "string" }, "description": "List of tools to enable" }, "streaming": { "type": "boolean", "default": true, "description": "Enable streaming responses" }, "model_client": { "type": "object", "properties": { "model": { "type": "string", "default": "gpt-4o" }, "api_key": { "type": "string" }, "base_url": { "type": "string" } }, "description": "Model client configuration" }, "system_message": { "type": "string", "description": "System message for the agent" } } }, "output_schema": { "type": "object", "properties": { "content": { "type": "array", "items": { "type": "object", "properties": { "text": { "type": "string" }, "type": { "type": "string" } } } } } } }, { "name": "execute_autogen_workflow", "description": "Execute a multi-agent workflow using latest AutoGen patterns", "input_schema": { "type": "object", "required": [ "workflow_type", "agents", "task" ], "properties": { "task": { "type": "string", "description": "Task description for the workflow" }, "agents": { "type": "array", "items": { "type": "object", "properties": { "name": { "type": "string" }, "role": { "type": "string" }, "type": { "type": "string" } } }, "description": "Agents to include in the workflow" }, "streaming": { "type": "boolean", "default": true, "description": "Enable streaming responses" }, "max_rounds": { "type": "number", "default": 10, "description": "Maximum conversation rounds" }, "workflow_type": { "enum": [ "sequential", "group_chat", "handoffs", "mixture_of_agents", "reflection" ], "type": "string", "description": "Type of workflow pattern" } } }, "output_schema": { "type": "object", "properties": { "content": { "type": "array", "items": { "type": "object", "properties": { "text": { "type": "string" }, "type": { "type": "string" } } } } } } }, { "name": "create_mcp_workbench", "description": "Create an AutoGen workbench with MCP server integration", "input_schema": { "type": "object", "required": [ "mcp_servers", "agent_name" ], "properties": { "model": { "type": "string", "default": "gpt-4o", "description": "Model to use" }, "agent_name": { "type": "string", "description": "Name of the workbench agent" }, "mcp_servers": { "type": "array", "items": { "type": "object", "properties": { "env": { "type": "object", "additionalProperties": { "type": "string" } }, "args": { "type": "array", "items": { "type": "string" } }, "name": { "type": "string" }, "command": { "type": "string" } } }, "description": "MCP servers to integrate" } } }, "output_schema": { "type": "object", "properties": { "content": { "type": "array", "items": { "type": "object", "properties": { "text": { "type": "string" }, "type": { "type": "string" } } } } } } }, { "name": "get_agent_status", "description": "Get detailed status and metrics for AutoGen agents", "input_schema": { "type": "object", "properties": { "agent_name": { "type": "string", "description": "Specific agent name (optional)" }, "include_memory": { "type": "boolean", "default": true, "description": "Include memory information" }, "include_metrics": { "type": "boolean", "default": true, "description": "Include performance metrics" } } }, "output_schema": { "type": "object", "properties": { "content": { "type": "array", "items": { "type": "object", "properties": { "text": { "type": "string" }, "type": { "type": "string" } } } } } } }, { "name": "manage_agent_memory", "description": "Manage agent memory and teachability features", "input_schema": { "type": "object", "required": [ "agent_name", "action" ], "properties": { "data": { "type": "any", "description": "Data for the action" }, "query": { "type": "string", "description": "Query string for memory search" }, "action": { "enum": [ "save", "load", "clear", "query", "teach" ], "type": "string", "description": "Memory action to perform" }, "agent_name": { "type": "string", "description": "Name of the agent" } } }, "output_schema": { "type": "object", "properties": { "content": { "type": "array", "items": { "type": "object", "properties": { "text": { "type": "string" }, "type": { "type": "string" } } } } } } } ], "version": "0.3.0", "categories": [], "description": "Enhanced AutoGen MCP Server with streaming support and modern architecture" }
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Last Push: 9/17/2025
Open Issues: 2