Evidence-backed reverse engineering and human-gated software planning for Pi and MCP coding agents.
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io.github.HuginnIndustries/codecartographer is an MCP server that evidence-backed reverse engineering and human-gated software planning for Pi and MCP coding agents. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 91/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"codecartographer": {
"command": "codecarto-mcp"
}
}
}Are you the author?
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Evidence-backed software cartography for coding agents. Turn an unfamiliar repository into validated architecture, contracts, defects, and a reimplementation specification—then combine explicitly confirmed specifications with a product vision to produce a provenance-backed implementation plan.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'codecartographer-pi' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked codecartographer-pi against OSV.dev.
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Understand an unfamiliar codebase with an AI agent — and get a validated spec you can rebuild from. CodeCartographer turns a repository into layered architecture, behavioral contracts, defect findings, and a language-agnostic reimplementation spec, with each phase validated before the next one runs. Works with Pi, Claude Code, Cursor, Codex, or any MCP-capable agent.
● CodeCartographer
├─ ✓ architecture phase ⟳ 25 · 76 tool uses · 1.0M tokens · 4m28s
├─ ✓ defect-scan-mech. ⟳ 39 · 91 tool uses · 2.4M tokens · 7m05s
└─ ⠹ contracts phase ⟳ 11 · 37 tool uses · 335.1k tokens · 40.1s
⎿ extracting behavioral contracts from server/index.ts…
Asking an LLM to "analyze this repo" loses context halfway through, hallucinates findings, and leaves no artifact the next session can pick up. CodeCartographer fixes three things:
The filesystem is the memory, not the conversation. Each phase writes a smaller, templated, evidence-tagged artifact to .codecarto/findings/. Later phases re-read the specific upstream files they need. A new session — or a context compaction — picks up from status.yaml without losing progress.
Every phase is validated before the pipeline advances. Completion criteria are real: a FAIL output stops the run. You can't accidentally build a reimplementation spec on top of hallucinated architecture.
The output is a spec, not a chat log. The final reimplementation-spec.md is language-agnostic, module-inventoried, and carries acceptance scenarios plus known unknowns. Hand it to another agent to rebuild from.
Every finding is tagged with an evidence level: observed fact, strong inference, portability hazard, or open question.
| What you get | Where it lives |
|---|---|
| Layered analysis pipeline — architecture → defect scan → behavioral contracts → protocols → porting → reimplementation spec | .codecarto/ template |
Validation gates between phases — no advancing past a FAIL output | core/ state machine |
| Three surfaces, one framework — Pi extension (recommended), MCP server (for other coding agents), or drop-in template (one-off / evaluation) | All three share core/ |
| Live progress widget while phase sub-agents work | Pi extension |
| HTML dashboard — single-file aggregate of progress, links, usage, narrative | .codecarto/dashboard.html |
| Per-phase token tracking | /codecarto-usage |
| Opt-in LLM steering of the next phase's seed prompt | /codecarto-next --llm-steer |
| Forward synthesis — vision + confirmed library specs → provenance-backed project plan | pipeline-synthesis.yaml |
Publish completed reimplementation specs from Pi or MCP, then run the synthesis pipeline to turn a product vision and explicitly confirmed library entries into a conflict-aware project-plan.md with a decision-level provenance ledger.
If CodeCartographer saves you a day of codebase archaeology, star the repo — it helps the next person find it.
OpenAI Build Week reviewers: see the [new-vs-existing scope and one-command demo](docs/build-week-2