Callout MCP server

Callout is a helper that plugs into your AI coding tool and gives it a set of expert opinions about your project. Think of it as a second pair of eyes: a CTO, a security person, a product manager, an investor and more, all looking at what you built. It is handy if you use AI to write code fast and want someone to check you are building the right thing.

What this MCP server does

You ask your AI something like review this project. The AI then uses Callout, which gathers basic facts about your project like the files, the dependencies and the git history. Callout turns that into expert-perspective prompts, and your AI works through them. You get back a written review with findings sorted into MUST FIX, SHOULD FIX and GOOD, plus effort estimates. Callout itself never calls an AI service, so it costs nothing extra and needs no API key.

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What you can do with it

• Get a 9-perspective review of your project sorted by priority
• Ask for a review focused on one decision, like which database to use
• Get coaching on your AI collaboration habits and blind spots
• Score a new idea across 10 dimensions and get a clear verdict
• Bind official docs to parts of your code so the AI reads them first
• Turn confusing test output into a plain-language test plan
• See all your findings and progress in one todo list

Try asking your AI

• “Review this project”
• “Coach me”
• “Score this idea”
• “Review focus: should I use Supabase or Firebase?”

What it gives back to you

You get written answers in your chat, not files. A review comes back as an executive summary followed by findings grouped into MUST FIX, SHOULD FIX and GOOD, each with an effort estimate. Coaching gives you an improvement checklist, and idea scoring gives you a verdict like CONTINUE, SIMPLIFY, PAUSE or DELETE. Findings can also be saved into a todo list you can view later.

Before you start

Who it's for

Solo developers, indie makers and small teams who use AI coding tools and want a sanity check before they build too much.