This release includes 2 breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Summary
AI summaryUpdates The 6 tools, Also new, and README across a mixed release.
Full changelog
The tool surface collapses from 13 → 6
Every tool is now a natural verb backed by a Rust engine primitive (glia 0.4.18), so each call returns a complete, ranked, located answer in one shot — instead of the agent composing a dozen low-level lookups.
The 6 tools
orient— repo overview, entry points, and a blind-spots note (which languages/edges the graph under-links, so you know when to grep). (← status + dense_text + graph_view)find— any text → the ranked nodes that matter: a symbol, keyword, stacktrace, failing test, or diff.expand=truefans out to the neighbourhood. (← find + locate + activate)impact— blast radius: what a change affects or depends on, ranked and located, with likely-dead code flagged⊘. (← impact + neighbours)trace— a feature end-to-end across the stack, or the shortest path between two nodes. (← flow + trace)read— a node's exact source, plus who calls it and what tests it.refresh— rebuild the graph (incremental; self-updates as you edit).
Why fewer tools
The MCP layer is a fixed per-turn cost. Fewer, more powerful tools mean less overhead and less agent confusion — while the engine does the ranking, locating, and dead-code detection.
Also new
- Liveness (
⊘) andpath:linenow come from the engine, not a wrapper heuristic. - README: "Where it fits best" (monorepos, polyrepo, large/legacy codebases — grep wins on small single-language repos) and "Use it without MCP" (call
repo-graph-pydirectly, no per-turn MCP cost).
Requires repo-graph-py>=0.4.18. Wrapper-only release; engine unchanged.
Install: uvx mcp-repo-graph install
Breaking Changes
- Removed 7 tools (list not provided) reducing surface from 13 to 6
- All remaining tools now backed by Rust engine glia 0.4.18; behavior and output format unified
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About James-Chahwan/repo-graph
Structural graph map of any codebase for AI coding assistants. Scans entities, relationships, and feature flows across 13 languages so LLMs navigate by structure instead of grepping through everything.
Related context
Beta — feedback welcome: [email protected]