AutoGen MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| create_streaming_workflowC | Create a workflow with real-time streaming |
| start_streaming_chatC | Start a streaming chat session |
| create_agentC | Create a new AutoGen agent |
| execute_workflowC | Execute a workflow with streaming support |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| autogen-workflow | Create a sophisticated multi-agent AutoGen workflow |
| code-review | Set up agents for comprehensive collaborative code review |
| research-analysis | Create advanced research and analysis workflow |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| Active Agents | List of currently active AutoGen agents |
| Workflow Templates | Available workflow templates |
| Chat History | Recent agent conversation history |
| Current Configuration | Current AutoGen configuration settings |
| Progress Status | Real-time progress of running tasks |
| Performance Metrics | Server performance statistics |
TDQS
Scored across 4 tools
The tools have mostly distinct purposes, but there is some potential for confusion between 'create_streaming_workflow' and 'execute_workflow' as they both involve workflows, though one is for creation and the other for execution. The other tools ('create_agent' and 'start_streaming_chat') are clearly separate in function.
All tool names follow a consistent verb_noun pattern (e.g., create_agent, create_streaming_workflow, execute_workflow, start_streaming_chat). The naming is predictable and readable throughout the set.
With only 4 tools, the set feels thin for an AutoGen MCP server, which might be expected to handle more complex agent and workflow operations. However, it covers basic creation and execution tasks, so it's borderline but not severely lacking.
The tools cover creation and execution of agents and workflows, but there are notable gaps such as updating or deleting agents/workflows, managing existing sessions, or handling non-streaming operations. This could lead to agent failures in more complex scenarios.