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James-Chahwan/repo-graph

v0.4.16 Feature

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

Published 1mo 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

Added a console script, launch spec updates, git URL support for repo cloning, and cross‑platform wheels.

Changes in this release

Feature Low

Adds `uvx mcp-repo-graph` console script for one-click installs.

Adds `uvx mcp-repo-graph` console script for one-click installs.

Source: llm_adapter@2026-06-05

Confidence: high

 —
Feature Low

Adds `runtimeHint: uvx` to server.json launch spec.

Adds `runtimeHint: uvx` to server.json launch spec.

Source: llm_adapter@2026-06-05

Confidence: high

 —
Feature Low

Adds support for `--repo` to accept a git URL in `uvx mcp-repo-graph`.

Adds support for `--repo` to accept a git URL in `uvx mcp-repo-graph`.

Source: llm_adapter@2026-06-05

Confidence: high

 —
Feature Low

Builds `repo-graph-py` wheels for Linux, macOS, and Windows via CI.

Builds `repo-graph-py` wheels for Linux, macOS, and Windows via CI.

Source: llm_adapter@2026-06-05

Confidence: high

 —
Full changelog

Install fix + discoverability

  • uvx-runnable: uvx mcp-repo-graph now resolves — added the mcp-repo-graph console script. Fixes one-click installs on the VS Code MCP gallery, Cursor, and the MCP registry (which all run uvx <package>).
  • server.json launch spec: runtimeHint: uvx, --repo argument, REPO_GRAPH_REPO env — so clients can build a working launch command.
  • --repo accepts a git URL: uvx mcp-repo-graph --repo https://github.com/org/repo shallow-clones and maps any public repo; also makes the hosted 'Try in Browser' path usable.
  • Cross-platform engine wheels: repo-graph-py now builds for Linux (x86_64/aarch64), macOS (Intel/Apple Silicon), and Windows via CI.
  • glama.json + CI test workflow; docs refreshed.
View diff on GitHub

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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.

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Related context

Beta — feedback welcome: [email protected]