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Agent Eval MCP server

by RudrenduPaul·io.github.RudrenduPaul/agent-eval·v0.1.8

Statistical regression testing for LLM agents: p-value, effect size, and CI on behavior change.

A85/100grade A
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A85/100

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0 stars59 downloads/wk

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Agent Eval tools (1, 1 write)

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Public scan report

scanner v0.1.9 · 2026-09-23 · same rubric, same numbers if you re-run it

1 medium
  • Code scan26 source files scanned20/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 5 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumsubprocess with shell=Trueexec.shell-true
    agent_regress_cli-0.1.8/src/agent_regress/core/runner.py: ….run( # noqa: S603 -- fixed argv list, shell=True never used [python_executab…
Overall 85/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the Agent Eval repository's README, as published. We do not edit it. Read it on GitHub

Agent Evaluation

<!-- mcp-name: io.github.RudrenduPaul/agent-eval --> <!-- Ownership-proof string for registry.modelcontextprotocol.io publishing. Do not remove. -->

Statistical regression testing for LLM agents: run version A and version B 50x each and get a p-value, an effect size, and a 95% confidence interval on whether behavior actually shifted.

pip install agent-regress-cli

(uv add and the npm/npx wrapper are covered in Install below.)

The test that every eval framework skips

You changed a prompt. Your evals still pass. But your agent's tool accuracy dropped from 84% to 70%.

Is that a real regression? Or is it LLM run-to-run noise?

Threshold testing cannot answer that question. agent-eval can.

Run your agent 50x on version A, 50x on version B. Get a p-value, an effect size, and a 95% confidence interval on whether behavior actually shifted.

p=0.003, Cohen's d=-0.61 -> REGRESSED (deploy blocked)
p=0.410, Cohen's d=0.021 -> STABLE (safe to ship)

[!NOTE]

Promptfoo, one of the most widely used open-source LLM eval frameworks, was acquired by OpenAI in March 2026, staying open source but folding its team into OpenAI's Frontier platform. agent-eval is Apache 2.0-licensed, self-hostable, and has no commercial dependency. The statistical core (Mann-Whitney U, bootstrap CI, Cohen's d) will never be paywalled.

Install

pip install agent-regress-cli
# or
uv add agent-regress-cli
# or, from Node/npx (thin wrapper around the same Python CLI)
npx agent-regress-cli

Quickstart

In 30 seconds (CLI)

Already have per-run scores from your own harness? Point the CLI at two JSON arrays of scores, one per version:

pip install agent-regress-cli

agent-regress compare \
  --version-a-results v1_scores.json \
  --version-b-results v2_scores.json \
  --metric tool_accuracy

# ============================================================
# agent-regress Report -- tool_accuracy
# ============================================================
# Verdict:    REGRESSED
# p-value:    0.0000
# Cohen's d:  -2.193
# 95% CI:     [-0.213, -0.148]
#
# Version A:  0.8470 +/- 0.0525  (n=50)
# Version B:  0.6685 +/- 0.1025  (n=50)
# Delta:      -0.1786
# ============================================================

Add --json --fail-on-regression to get clean, parseable output and a non-zero exit code on REGRESSED, for wiring straight into CI.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add agent-eval -- uvx agent-regress-cli
Add to Cursor

Agent Eval: common questions

Is Agent Eval MCP server safe?
Yes, by our scan: it is graded A (85/100). Read the Agent Eval safety report
How do I install Agent Eval?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does Agent Eval need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Agent Eval maintained?
The last commit was 6 days ago (2026-09-18). The latest release is v0.1.8.
What can I use instead of Agent Eval?
Servers from other publishers that do the same job: Mason MCP server.

Alternatives to Agent Eval

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