Corbell
Corbell is a local CLI tool (Python) that builds multi-repo architecture graphs from code (SQLite by default), indexes code embeddings, extracts design patterns from existing docs, and uses LLM providers to generate and review PRD-driven architecture/spec documents. It can also expose graph/code context via an MCP server and export tasks to Linear (and optionally Notion).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Local CLI reduces exposure of repo data to third parties, but the tool can call external LLM providers using API keys from environment variables. No auth model/scope model is described for the MCP server/UI. Rate-limiting and error guidance are not documented in the provided content. Dependencies include common AI/ML libraries; without lockfile/CVE data, hygiene can’t be fully verified from the manifest alone.
⚡ Reliability
Best When
You have multiple backend repositories with established architecture patterns and you want repeatable, context-aware spec generation/review entirely from local code.
Avoid When
You require a strict, audited compliance workflow for AI outputs, or you cannot provide/handle repository source code locally.
Use Cases
- • Generate PRD-driven architecture/design docs that reflect an existing multi-repo codebase
- • Architecture review by cross-checking proposed specs against the built graph and extracted constraints
- • Assist with onboarding by surfacing relevant services, call paths, and method signatures from your own repos
- • Create Linear issues with richer code/service context for implementation planning
- • Provide AI agents an MCP-accessible view of architecture context (services, call paths, semantic code search)
Not For
- • Producing authoritative system designs without human review (LLM output may still be wrong)
- • Enforcing runtime architecture decisions or guaranteeing correctness of deployed code
- • Teams that need a fully hosted SaaS with centralized management
- • Organizations that cannot run local processes that scan repositories and build indexes
Interface
Authentication
Auth is primarily for upstream LLM providers; there is no described auth for the local CLI/UI/MCP itself.
Pricing
The README emphasizes local operation and shows token usage/estimated cost after LLM calls, but no fixed pricing tiers are provided.
Agent Metadata
Known Gotchas
- ⚠ Local-first tool: agents must run in a filesystem context with the repositories accessible.
- ⚠ MCP tool behavior depends on the workspace state (graph built/indexed) and environment variables for the LLM provider when LLM-dependent tools are invoked.
- ⚠ Generated specs may require human approval; graph consistency/review steps are part of the intended workflow.
Alternatives
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Scores are editorial opinions as of 2026-03-30.