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deep-think-mcp

by ClintMoody
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Python

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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

    B3.3/5.0

    Scored across 25 tools

    Disambiguation4/5

    Most tools have distinct purposes, but the presence of begin_thought vs. begin_subagent_thought and commit_thought vs. commit_subagent_thought could cause confusion despite clear descriptions. Overall, the set is well-differentiated.

    Naming Consistency4/5

    Tool names are almost all in consistent verb_noun snake_case. 'keep_here' deviates slightly, and 'next_action' is not a verb_noun pair, but the pattern is generally predictable.

    Tool Count3/5

    25 tools is on the high side, bordering on heavy for an MCP server. While each tool appears justified for the complex workflow, the count could overwhelm agents.

    Completeness4/5

    The tool set covers the full lifecycle: session management, thought creation/critique/refinement/commit, subagent rounds, state inspection, export/import. Only minor gaps exist, such as the lack of a tool to directly delete a thought.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources