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Related Servers

Alternatives to Benchwarmers

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables orchestrating a panel of frontier AI models that independently propose, critique, revise, and converge on a single agreed answer to a problem, using existing vendor subscriptions or API keys.
      24 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that queries a panel of LLMs from different providers via OpenRouter and returns their answers side by side, optionally synthesizing them to highlight disagreements.
      1 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Self-hosted MCP gateway that aggregates many MCP servers into a single endpoint for AI clients, supporting hosted, local stdio, and Git-sourced MCPs.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      A self-hostable MCP server that routes prompts to multiple LLM providers using declarative policies, with multi-role orchestration for independence and verification.
      MIT

    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation4/5

    Each tool targets a distinct step: discover collections, query a panel, submit a judgement, and enumerate unjudged seats. The only soft boundary is between `verdict` and `pending_verdicts`, which the description partially resolves by telling the agent it never needs to call the latter, though that still invites hesitation.

    Naming Consistency3/5

    `list_collections` uses a verb_noun pattern while `ask` and `verdict` are bare action words and `pending_verdicts` is a noun phrase. The names are readable and memorable, but there is no single predictable convention an agent can rely on.

    Tool Count4/5

    Four tools is lean but matches the narrow discover→ask→judge loop, with no redundant entries. `pending_verdicts` exists mainly for a plugin hook rather than agent use, so the effective agent-facing surface is even smaller, which is acceptable but slightly thin.

    Completeness4/5

    The core lifecycle is covered: enumerate collections, fan a prompt to all seats, and record per-seat correctness feedback that feeds routing. Gaps are minor: no way to inspect prior calls or verdicts, cancel a long-running `ask`, or query the 'confidently wrong' record that verdicts supposedly populate.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues