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Alternatives to JevLab MCP Server

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes MCP tools to list and inspect the 48 harm-ladder tasks, deterministically score a submitted decision trace, run a full evaluation against a mock or real model provider, and retrieve data provenance. This lets developers measure a model's pushback and refusal calibration as plan harm rises, directly from any MCP client.
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Serves MCP tools to inspect agent trace JSONL files and evaluate them against golden-case constraints, returning structured metrics and gate results.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves offline document validation and evaluation operations of the Judgment Pack Specification to MCP clients over stdio, enabling agents to validate and evaluate JPS documents as tool calls. Supports conformance validation, experimental evaluation with disposition and error classes, and corpus testing.
      2
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves three judgment tools over MCP stdio that return typed answers — yes/no, choice, and score — with calibrated probabilities instead of prose. It runs fully offline by default, requiring an explicit live provider and credential before any state leaves the host.
      69 npm
      Apache 2.0
    • A
      license
      Not graded
      quality
      D
      maintenance
      Evaluates RAG outputs on faithfulness, answer relevancy, and context precision using an LLM-as-a-Judge backend. Exposes tools for running evaluations, scoring individual samples, and checking thresholds, enabling CI gating and on-demand assessment via MCP.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables LLM-as-judge text quality evaluation via MCP, scoring original-revised pairs with multi-axis weighted rubrics, testing scorer models against labeled golden sets, and cross-validating agreement between two scorers.
      1
      MIT