Redline
Regression-test prompts and agent replies locally by reading prompt-response logs from your AI coding assistant before you ship behavior changes.
Overview
io.github.gowtham0992/redline is a MCP server for the Ship phase that runs local prompt regression checks using prompt-response logs from AI coding assistants.
What is this MCP server?
- Runs local prompt regression checks from prompt-response logs captured in AI coding assistants
- PyPI redline-ai v0.2.1 MCP entry via uvx: --from redline-ai==0.2.1 then redline-mcp stdio
- Keeps evaluation on your machine—useful when you cannot send production chats to a cloud eval vendor
- Pairs with agent iteration loops: change SKILL.md or system prompt, re-run redline against saved logs
- Documented site at https://gowtham0992.github.io/redline/ for workflow detail beyond the registry stub
- Server/registry version 0.2.1; PyPI package redline-ai; stdio via redline-mcp entrypoint
- uvx runtime hint with pinned --from redline-ai==0.2.1
- Project docs site: https://gowtham0992.github.io/redline/
What problem does it solve?
A one-line system prompt edit can break your agent’s shipping checklist and you only notice after merge or deploy.
Who is it for?
Indie builders iterating agent prompts who already save or can export prompt-response logs and want a local MCP regression step.
Skip if: Teams needing distributed load tests, browser E2E suites, or cloud-only eval dashboards with team RBAC.
What do I get? / Deliverables
After configuring uvx redline-mcp, you can replay log-based regression checks and catch prompt-response drift before release.
- Local MCP-driven regression checks against prompt-response history
- Repeatable pre-release prompt QA workflow tied to agent logs
- Documented uvx stdio launch pattern for redline-mcp v0.2.1
Recommended MCP Servers
Journey fit
How it compares
Log-driven prompt regression MCP, not a general unit-test runner or production APM integration.
Common Questions / FAQ
Who is io.github.gowtham0992/Redline for?
It is for developers shipping AI-assisted workflows who want local regression signal on prompts and answers before they tag a release.
When should I use io.github.gowtham0992/Redline?
Use it in Ship testing whenever you change instructions, tools, or models and need to compare new runs against stored prompt-response logs.
How do I add io.github.gowtham0992/Redline to my agent?
Configure stdio with uvx using --from Redline-ai==0.2.1 and the Redline-mcp positional entrypoint, then register that command in your MCP client.