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redline MCP server

by gowtham0992·io.github.gowtham0992/redline·v0.3.0
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Run local prompt regression checks from prompt-response logs in AI coding assistants.

B80/100grade B
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Safety scan
B80/100

full report

Adoption
New

0 stars24 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

redline tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

1 medium
  • Code scan60 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 52 days ago12/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

  • mediumsubprocess with shell=Trueexec.shell-true
    redline_ai-0.3.0/redline/runner_templates/stdio_runner.py: …nput=prompt, text=True, shell=True, capture_output=True, c…
Overall 80/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How redline compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
80/100
higher than 60% of 4,460 AI and agents servers
Downloads a week
24
more than 10% of 1,538 AI and agents servers with a package

Install redline in Claude Code, Cursor or VS Code

claude mcp add redline -- uvx redline-ai
Add to Cursor

What the publisher says

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

<!-- mcp-name: io.github.gowtham0992/redline -->

redline

Catch prompt regressions before they ship.

Automatic eval suites from the prompt logs you already have.

redline turns real prompt-response logs into local regression tests. It selects representative cases, replays your changed prompt, and shows the behavioral diff before a bad prompt reaches users.

Website · Docs · MCP · MCP Registry · Security · License

Start Here

Install from PyPI:

python -m pip install redline-ai

Run the guided local app with the public proof loaded:

redline app --demo

This generates the public demo reports, opens the local product app, and shows the full import -> suite -> eval -> review workflow. The demo catches ten synthetic regressions without API keys, private logs, a cloud account, or an LLM judge.

Prefer terminal output first:

redline demo --public --compact

The demo writes JSON, Markdown, and self-contained HTML reports under .redline/demo.

Ask redline what to do next:

redline status --reports-dir .redline/demo/reports

status reads local config, suites, reports, history, and audit evidence, then prints the next command instead of leaving you to infer the workflow.

Open the guided local product app on existing reports:

redline app --reports-dir .redline/demo/reports

The app is a local, copy-command workflow: import logs, generate suites, run evals, review regressions, record history, and export CI/MCP setup without the browser executing shell commands.

On headless CI or remote shells, skip browser opening and use the printed HTML path:

redline app --reports-dir .redline/demo/reports --no-open --out .redline/app.html

First-run troubleshooting

confirm python -m pip show redline-ai.

  • redline: command not found: run python -m pip install redline-ai, then

upload that file from your environment.

  • App did not open: use --no-open --out .redline/app.html and open or

the first reported error.

  • Suite not found: run redline suite logs/baseline.jsonl --out redline-suite.json.
  • Validation failed: run redline validate redline-suite.json --strict and fix

action suite input at your prompt manifest.

  • GitHub Action cannot find a suite: commit redline-suite.json or point the

Full guide: docs/troubleshooting.md.

Product Proof

redline has two proof paths: a fast first-run demo and a larger public-data dogfood run.

Shortened. The full README is on GitHub.

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

redline: common questions

Is redline MCP server safe?
Mostly: it is graded B (80/100). Read the redline safety report
How do I install redline?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does redline need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is redline maintained?
The last commit was 91 days ago (2026-08-05). The latest release is v0.3.0.
What can I use instead of redline?
Servers from other publishers that do the same job: Emulo MCP server, Serena MCP: the IDE for your agent MCP server and Figma Context MCP server.
How does redline compare with other AI and agents MCP servers?
safety score 80/100 (higher than 60% of 4,460 AI and agents servers); downloads a week 24 (more than 10% of 1,538 AI and agents servers with a package). Full comparison.

Alternatives to redline

Same job from other publishers: the closest match first, then the best rated.

  • Emulo
    Mine your AI coding session logs into a you.md profile with dated receipts, for an agent to read.
    A
  • Serena MCP: the IDE for your agent
    A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
    C
  • Figma Context
    Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
    B
  • Agent-Native Analytics
    Agent-Native Amplitude/Mixpanel - connect data sources, prompt for charts
    A
  • SuperCompress
    Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
    B