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crewAIInc

CrewAI Enterprise MCP Server

Official
by crewAIInc
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Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.1/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: one starts a new crew task (kickoff_crew) and the other checks the status of an existing task (get_crew_status). There is no overlap or ambiguity between these operations.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern (kickoff_crew, get_crew_status) with clear action-oriented verbs and the same noun root. The naming is predictable and follows the same convention throughout.

    Tool Count2/5

    With only two tools, the server feels severely under-equipped for an 'Enterprise MCP Server' that presumably manages crew tasks. There are likely missing operations like listing crews, updating tasks, or handling errors that would be needed for complete workflow coverage.

    Completeness2/5

    The tool surface is significantly incomplete for crew task management. While it covers starting and checking status, there are obvious gaps: no way to list existing crews, update tasks, cancel tasks, or retrieve results beyond status. This will cause agent failures in many scenarios.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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