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Rutherford MCP Server

Rutherford MCP Server

by chapmanjw

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      Enables a primary AI coding assistant to delegate tasks in parallel to specialized CLI-based agents such as Gemini, Claude, Codex, and Cursor, sharing the same project context across all of them. It then aggregates and synthesizes their outputs into a single response, using existing local tools and subscriptions with no extra configuration.
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      14
      9 npm
      14
      MIT

    TDQS

    A4.3/5.0

    Scored across 19 tools

    Disambiguation4/5

    Most tools target clearly distinct operations: delegation, multi-agent consensus, debate, jobs, setup, and diagnostics. The main overlap is deliberate: `plan` is a specialized `delegate`, and `review` is a specialized read-only `consensus`, while `list_jobs`, `activity`, `job_status`, and `job_result` are closely related but explicitly contrasted in their descriptions.

    Naming Consistency4/5

    All names use consistent snake_case with no camelCase or casing chaos. They are mostly readable and predictable, though some are bare verbs/nouns (`delegate`, `consensus`, `doctor`) rather than uniformly verb_noun.

    Tool Count3/5

    Nineteen tools is borderline heavy for a single server, driven by separate surfaces for delegation, deliberation, jobs, agent diagnostics, setup, discovery, and panels. Each tool has a role, but the set is broad enough that an agent must navigate many adjacent operations.

    Completeness4/5

    The surface covers the main lifecycle well: agent discovery/authentication/health, roles, delegation, planning, consensus, debate, review, job polling/cancellation/continuation, and setup. Minor gaps remain around explicit panel CRUD/session management, but core workflows are not dead-ended.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive