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chaining-mcp-server

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    TDQS

    C2.7/5.0

    Scored across 29 tools

    Disambiguation2/5

    Several tools occupy the same planning/analysis space: llm_suggest_route, generate_route_suggestions, get_tool_chain_analysis, analyze_tools, analyze_with_sequential_thinking, and suggest_skill_chain all produce route/task plans with overlapping descriptions. sequentialthinking and analyze_with_sequential_thinking are also easy to confuse, and legacy llm_* tools duplicate newer agent_run functionality. Only the skill/prompt/resource get/search tools are clearly separable.

    Naming Consistency2/5

    Most tools use verb_noun snake_case, but there are notable deviations: sequentialthinking and brainstorming have no separators, workflow_status/workflow_orchestrator are noun-first, workflow_cancel reverses the expected verb_noun order, and agent_run is noun+verb. The llm_ prefix is applied inconsistently, with brainstorming and llm_query both invoking LLM capabilities but only one being prefixed.

    Tool Count2/5

    At 29 tools the surface is overgrown for a chaining server. Several tools are explicitly legacy compat APIs that duplicate newer entry points, and unrelated utilities like get_current_time and convert_time add noise. A focused chaining server could express the same capabilities in roughly half the tools.

    Completeness4/5

    The chaining lifecycle is well covered: discover servers and skills, load skills and instructions, plan/validate/analyze chains, execute via workflow_orchestrator or agent_run, monitor status, and cancel. Minor gaps exist, such as no direct ability to list running workflows or execute a skill standalone, but agents can work around these. The legacy/duplicate APIs do not create serious dead ends.

    Maintenance

    ActivityActive
    ResponsivenessNo issues

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