Mcp As A Judge
Run explicit LLM-as-judge evaluations from your agent session to stress-test coding assistant behavior before you ship or iterate on agent tooling.
Overview
MCP as a Judge is a MCP server for the Ship phase that runs explicit LLM evaluations to strengthen AI coding assistant behavior.
What is this MCP server?
- Behavioral MCP focused on explicit LLM evaluations for AI coding assistants
- PyPI package mcp-as-a-judge at version 0.3.3 with stdio transport
- Strengthens assistant quality through judge-style scoring rather than silent self-checks
- Fits eval loops alongside manual code review and test harnesses
- Published version 0.3.3 on PyPI identifier mcp-as-a-judge
- stdio-only transport per server manifest
What problem does it solve?
You cannot trust vibe-based self-review from the same model that wrote the code without an external judge step.
Who is it for?
Builders iterating on agent prompts, skills, or coding policies who want eval hooks inside MCP.
Skip if: Teams that only need linters and unit tests with no LLM-in-the-loop quality gates.
What do I get? / Deliverables
After registration, your agent can trigger structured judge evaluations to compare outputs and tighten assistant reliability.
- Repeatable judge evaluations callable from the agent
- Stronger feedback loop for prompt and skill changes
- MCP-native hook for assistant behavioral testing
Recommended MCP Servers
Journey fit
Behavioral judging is cataloged under Ship review because it gates quality of AI-assisted output, even though you can invoke it while building agents. Review is where structured pass/fail or rubric-style LLM evaluations belong—not raw feature coding.
How it compares
Eval-oriented MCP server, not a single SKILL.md workflow or static code linter.
Common Questions / FAQ
Who is MCP as a Judge for?
Solo builders and agent authors who want MCP-accessible LLM judge passes on coding assistant behavior.
When should I use MCP as a Judge?
Use it during Ship review or testing when you need rubric-style LLM evaluations before shipping agent-heavy changes.
How do I add MCP as a Judge to my agent?
Install the mcp-as-a-judge PyPI package, configure stdio in your agent’s MCP settings, and invoke judge tools from your eval or review workflow.