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gl-mcp-feedback

by youjunxiaji
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Python
Hybrid

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    Deploy Server
    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    A3.8/5.0

    Scored across 2 tools

    Disambiguation4/5

    The two tools have clearly different runtime behaviors: interactive_feedback drives user dialogue, while get_system_info reads environment data. There is no direct overlap, but get_system_info appears unrelated to the feedback domain, which weakens the overall set coherence.

    Naming Consistency3/5

    Both names use snake_case, so they are readable and mechanically consistent. However, interactive_feedback is a noun/adjective phrase while get_system_info follows a verb_noun pattern, so the naming convention is mixed rather than predictable.

    Tool Count3/5

    Two tools is borderline thin for a server whose core purpose is interactive feedback, especially when one tool carries almost all the domain behavior. The second tool is a small unrelated utility rather than a complementary feedback operation.

    Completeness3/5

    interactive_feedback is richly specified and covers many runtime states such as timeout, queued messages, images, and termination handling. However, there are no explicit session-management or history tools, and get_system_info is isolated from the feedback workflow.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources