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James-Chahwan/repo-graph

v0.4.12 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 3mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Summary

AI summary

Updates Highlights, Release artifacts, and What's next across a mixed release.

Full changelog

First PyPI cut of the Rust engine.

Highlights

  • Rust engine on PyPI. The tree-sitter-based parser/graph/store stack now ships as repo-graph-py (Linux x86_64, abi3 Python 3.11+). mcp-repo-graph is a thin Python MCP wrapper over it.
  • 20 languages — Go, Rust, TypeScript, React, Angular, Vue, Python, Java/Kotlin, Scala, Clojure, C#/.NET, Ruby, PHP, Swift, C/C++, Dart, Elixir, Solidity, Terraform, SCSS.
  • Cross-stack HTTP linking — frontend fetch/axios calls automatically link to backend routes across languages.
  • Stack resolvers — HTTP, gRPC, GraphQL, queues, WebSocket, event bus, CLI — link entities across repos/services.
  • 13 MCP tools — generation, navigation, context budgeting, health analysis, visual maps.
  • .gmap format — zero-copy rkyv + mmap store, sharded by kind.
  • Personalised PageRank activation — spread relevance across the graph with domain-provided direction/weights.

Install

pip install mcp-repo-graph

Requires Python 3.11+ on Linux x86_64 (glibc ≥2.34). Full platform matrix via GitHub Actions coming in v0.4.13.

Release artifacts

  • PyPI: https://pypi.org/project/mcp-repo-graph/0.4.12/
  • PyPI: https://pypi.org/project/repo-graph-py/0.4.12/
  • MCP Registry: io.github.James-Chahwan/[email protected]

What's next

  • v0.4.13 — maturin GitHub Actions wheel matrix (linux aarch64, macOS x86_64/arm64, windows), latent-vector hook, SWE-bench Lite run.
  • Post-v0.4.12 — Rust engine splits into its own glia repo; mcp-repo-graph stays as the MCP wrapper.

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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.

All releases →

Beta — feedback welcome: [email protected]