James-Chahwan/repo-graph

Overview

An MCP server written in Rust that provides structural graph memory for AI coding assistants. It models a codebase as a graph of files, functions, and relationships to enable context-aware navigation during code generation and analysis.

Best for

Best for
Developers using MCP-compatible AI coding assistants who need structured context from their codebase.

Use cases

• Give an AI coding assistant a structured graph of the entire codebase
• Improve code generation accuracy by supplying relevant code relationships
• Navigate large or unfamiliar repositories quickly through graph queries

Notes

An MCP server written in Rust that provides structural graph memory for AI coding assistants. It models a codebase as a graph of files, functions, and relationships to enable context-aware navigation during code generation and analysis.

5 stars on GitHub. Last updated 2026-05-22. Licensed MIT.

Use cases

• Give an AI coding assistant a structured graph of the entire codebase
• Improve code generation accuracy by supplying relevant code relationships
• Navigate large or unfamiliar repositories quickly through graph queries

Pros

• Lightweight and performant due to Rust implementation
• Integrates via the standard Model Context Protocol
• Open source and free to use

Cons

• Very early stage with minimal adoption (only 5 stars on GitHub)
• Limited documentation and community support
• Unclear compatibility with languages beyond the tool’s own Rust parsing

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.