Sourcebook
Overview
Description from the maker (original English)
Live codebase intelligence for AI agents: conventions, blast radius, import graphs, git insights.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 2 passedChecked from public information; code not scanned yet
- UsageiVery new★ 3
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: –
- Transport:
- Category: Developer tools
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 2 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
The maker has not listed install details in the registry. See the maker’s README below.
Related guides
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account maroondlabs, which owns the repo
- ! Caution
Still maintained
Code last changed 7 months ago, more than 6 months ago
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Developer toolsi
- More stars than 79% of the other 5741 servers in this category
- Published to the registry more recently than 9% of the other 5741 servers in this category
- Basic checks equal to or better than 12% of the other 5741 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Sourcebook safe?
It passed 1 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed 7 months ago, and the latest version (0.9.5) reached the registry 7 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code.
What can I use instead?
In the same category: REA, Netdata, Front-End Checklist
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Netdata
Real-time infrastructure monitoring with metrics, logs, alerts, and ML-based anomaly detection.
Front-End Checklist
Review frontend code and live pages against 386 quality-gated web development rules.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
sourcebook
Catches the files your AI agent forgot to change.
A safety layer for code changes. sourcebook analyzes git diffs for completeness — flags files that should've been modified but weren't. Rules-based structural detection plus AI-powered semantic analysis. Zero false positives on clean diffs.
npx sourcebook init # sets up Claude Code hooks + generates CLAUDE.md
npx sourcebook check # check your current diff for missing files npx sourcebook scan-history # see what you've been missing
What It Catches
Your AI agent changed the handler. Did it update the test? The sibling module? The config that references the old value?
sourcebook checks your diff against the repo's actual structure:
- Missing test files — source file changed, test file didn't
- Sibling modules — files that import or are imported by what you changed
- Co-change companions — files that historically change together in git commits
- Hub file blast radius — you touched something with 50+ dependents
With --ai: cross-module semantic relationships, field renames that need migrations, stale validation logic.
Key Stats
| Metric | Result |
|---|---|
| Completeness gate | 100% accurate (30/30 diffs) |
| False positive rate | 0% on clean diffs |
| Test file detection | 73% |
| Sibling detection | 71% |
| AI analysis cost | ~$0.012/run |
Four Surfaces
1. CLI
Run it on any diff. No setup required.
npx sourcebook check # check staged/unstaged changes
npx sourcebook check --ai # add AI semantic analysis (requires ANTHROPIC_API_KEY) npx sourcebook check --quiet # exit code only (for CI/scripts) npx sourcebook check --branch main # compare vs a branch
2. Claude Code Hooks
One command wires up pre-commit hooks. Agent edits a file, sourcebook checks the diff, agent sees what's missing — all before the commit lands.
npx sourcebook init # generates CLAUDE.md + installs hooks
3. MCP Server
Published on the official MCP registry. Agents can query repo structure, blast radius, conventions, and co-change data on demand.
npx sourcebook serve
Add to your MCP client:
{
"mcpServers": { "sourcebook": { "command": "npx", "args": ["-y", "sourcebook", "serve", "--dir", "/path/to/your/project"] } } }
4. GitHub App (coming soon)
Automated completeness checks on every pull request. Join the waitlist.
Commands
| Command | Description |
|---|---|
sourcebook check | Analyze current diff for completeness |
sourcebook check --ai | Add AI-powered semantic analysis (requires ANTHROPIC_API_KEY) |
sourcebook check --quiet | Exit code only — 1 if findings, 0 if clean |
sourcebook check --json | Structured JSON output |
sourcebook check --branch main | Compare HEAD against a branch |
sourcebook check --threshold 0.9 | Custom co-change coupling threshold (0-1) |
sourcebook init | Set up Claude Code hooks + generate CLAUDE.md/AGENTS.md |
sourcebook scan-history | Retrospective scan of recent commits |
sourcebook hooks | Install or check Claude Code hooks |
sourcebook truth | Generate a Repo Truth Map (2.5D visualization) |
sourcebook serve | Start MCP server |
sourcebook update | Re-analyze while preserving manual edits |
sourcebook diff | Show what would change (exit code 1 if changes found) |
sourcebook watch | Auto-regenerate context files on source changes |
sourcebook ask | Query codebase knowledge in natural language |
How It Works
Layer A — Rules-based (no LLM, <1 second)
- Co-change analysis — mines git history for files that change together. If you touched
auth.tsand it changes withsession.tsin 88% of commits, sourcebook flagssession.ts. - Test file detection — maps source files to test files via naming conventions and co-change history.
- Import graph — builds a dependency graph and checks whether files that import (or are imported by) your changed files also need updates.
- Hub detection — flags when you've modified a file with high fan-in (many dependents). These changes have blast radius.
Layer B — AI-powered (~$0.012/run)
Sends the diff plus dependency context to Claude Sonnet. Catches semantic relationships Layer A can't see — field renames that need migrations, validation logic that assumes old schemas, cross-module dependencies with no import link.
Every AI suggestion requires a dependency citation. Hallucinated file paths are filtered out. The completeness gate ensures zero false positives: if the diff is actually complete, Layer B stays silent.
Configuration
# Required for --ai flag only
export ANTHROPIC_API_KEY=sk-ant-...
No other configuration needed. sourcebook reads your repo's git history and file structure directly.
Language Support
| Language | Import Graph | Git Analysis | Convention Detection |
|---|---|---|---|
| TypeScript / JavaScript | Full | Full | Full |
| Python | Full | Full | Full |
| Go | Full | Full | Full |
| Rust | Full | Full | Partial |
Research
Built on real benchmarks, not vibes:
- Check validation results — methodology and accuracy data
- Benchmark: 19 tasks, 10 repos, 4 languages — controlled agent performance testing
- Why auto-generated context makes agents worse — the ETH Zurich finding that shaped our approach
License
BSL-1.1 — source-available, free to use, cannot be offered as a hosted service. Converts to MIT on 2030-03-25. See LICENSE for details.
sourcebook.run · GitHub · npm · @maroond_