A
licenseA
qualityC
maintenanceA comprehensive MCP server providing tools for AI agents to interact with code, including reading symbols, importing modules, replacing text, and sending OS notifications.
3
13 npm
10
MIT
AutoGen MCP Server
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TDQS
B3.1/5.0
Scored across 4 tools
Disambiguation4/5
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.
Naming Consistency5/5
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.
Tool Count3/5
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.
Completeness3/5
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.