obra-cto
Local-first MCP that scores your codebase's build readiness. Your code never leaves your machine.
Install
Terminal
$npx -y obra-ctomcp_config.json
{
"mcpServers": {
"com-get-obra-obra-cto": {
"args": [
"-y",
"obra-cto"
],
"command": "npx"
}
}
}Documentation
Obra CTO
A local-first MCP server that scores your codebase's Build Readiness. You install it in your own Claude. Your Claude reads your code on your machine and runs your tests there. Nothing is uploaded.
This is the free preview of Obra's role lineup, and it stays free and local. The CTO reads your code and tells you what an investor's technical diligence would find: real security holes, weak design decisions, and the gaps that stop a serious review. The rest of the team (the Obra CFO for funding-ready materials, and more) lives in the Build with Obra community.
The Obra founders' toolkit
Two free, local, open-source MCPs built to work as a pair:
- Obra CTO (this one): is it built? Scores your codebase and surfaces what a technical diligence would flag. GitHub · npm
- Obra CFO: is it fundable? Runs the investment committee on your pitch and turns your verified build into a funding case. GitHub · npm
Run the CTO first. The CFO reads its report as grade-A technical evidence. The method, the deep versions, and Obra in beta live in Build with Obra.
Why local-first
A tool that reads your code should not ship your code somewhere. Your source never
leaves your machine. This server makes exactly one kind of network call, and only
when you run the dependency check: it sends your package names and versions to the
OSV vulnerability database, never a line of your code (you can see the single call
in src/deps.ts). Everything else is local: it returns counts, presence flags, a
redacted secrets scan, and a score. You can read every line of this server before
you run it, which is the point of keeping it open.
What you get
The Obra CTO Score, out of 100, calibrated to your stage (prototype, MVP, or growth), across six dimensions:
| Dimension | Weight |
|---|---|
| Security | 25 |
| Product reality (what is actually built) | 20 |
| Robustness | 15 |
| Architecture | 15 |
| Maintainability | 15 |
| Deploy readiness | 10 |
Every finding carries an evidence grade: A verified, B multiple sources, C partial or inferred, D claim only, E speculation. The score is built from grade A and C evidence, what is true in your code, not what a deck says. When the CTO runs your tests and they pass, reliability becomes grade A. A deck-scorer can never earn that.
What a run looks like
Point it at a real project and you get a scored report with a ranked risk register. Here is a run on a scrappy Supabase app (anonymized):
# Obra CTO Score: financeapp
## 46 / 100 · Not yet ready
Assessed as: mobile (react-native, expo) | Backend: supabase
| Dimension | Score | Evidence |
|------------------|-------|----------|
| Security | 6/25 | A |
| Product reality | 20/20 | A |
| Robustness | 3/15 | A |
| Architecture | 9/15 | A |
| Maintainability | 6/15 | A |
| Deploy readiness | 2/10 | C |
## Top Risks
- [critical] RLS policies defined but never enabled; data may be open to any authenticated user
Fix: enable row level security on every table, then verify a second user cannot read your rows.
- [high] Access control gap: a privileged action checks only that the user is logged in, not that they own the resource
- [medium] No tests found
On a well-built app it scores high and credits the good engineering. It is calibrated, not a fear machine.
Tools
scan_projectreads the project and returns mechanical signals.check_dependencieschecks your locked dependencies against the OSV vulnerability database. Only package names and versions leave your machine, never your code.run_testsruns your test suite (this executes code, so your Claude asks first) and parses the pass and fail counts.prepare_code_reviewselects your highest-signal files (schema and policy files, entry points, security-relevant code) and hands them to your Claude with a checklist tuned to your stack, including a Backend-as-a-Service lens (Supabase, Firebase) and a design red-team that critiques the architecture, not just the code.score_build_readinessproduces the Obra CTO Score with a Top Risks register.
A normal run is: scan, check dependencies, run tests, prepare the code review, then score.
Install
Add it to your Claude MCP config (Claude Desktop or Claude Code):
{
"mcpServers": {
"obra-cto": {
"command": "npx",
"args": ["-y", "obra-cto"]
}
}
}
Then ask your Claude: "Score this project's build readiness with Obra CTO."
Prefer to run from source? Clone the repo, run npm install && npm run build, and
point the config at node /absolute/path/to/obra-cto/dist/index.js.
What this is not
Not a linter, not a security scanner, not a replacement for your own Claude reading the code. It is technical-diligence readiness inside funding readiness: the question an investor's CTO would ask, answered from your real code.
What's next
The Obra CTO is the free preview. To go further:
- The Method: the full playbook for shipping production software with AI, the disciplines that make code score like the example above, each lesson with a paste-in prompt or tool you can use today.
- The rest of the team: the Obra CFO for funding-ready materials, and each new role as it ships.
- Obra itself, in beta: the AI employee that runs your back office. Members go first.
See the whole toolset and where it is going at https://get-obra.com/build
The full method and the community live in Build with Obra: https://www.skool.com/build-with-obra-5361/about
License
Apache-2.0.
Sourced from the repository README.
More in Design & UX
- Stitch MCP ServerGenerates high-fidelity UI designs, screen variants, and design systems from text descriptions directly into production apps.3,400
- Design ExtractExtract any website's complete design system with one command. DTCG tokens, semantic+primitive+composite, MCP server for Claude Code/Cursor/Windsurf, multi-platform emitters (iOS SwiftUI, Android Compose, Flutter, WordPress), Tailwind v4, Figma variables, shadcn/ui, CSS health audit, WCAG remediation, Chrome extension. MIT, Playwright, Node 20+.3,367
- Impeccable UIMaster frontend design skill for crafting extraordinary, high-performance UI components, layout systems, design tokens, micro-animations, and visual polish.3,200
- Figma MCP ServerThe Figma MCP server brings Figma design context directly into your AI workflow.1,919
- Design IntentCaptures and translates product specifications into clean, implementable visual design tokens, component architecture, and design system contracts.1,840
- docs-mcpRemote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.117