shashankss1205/codegraphcontext

Overview

An MCP server and CLI tool that indexes local source code into a graph database. It surfaces structural context about code relationships to AI assistants for more informed responses.

Best for

Best for
Developers who want to give LLM assistants a structured map of their codebase

Use cases

• Provide AI coding assistants with dependency and call-graph context
• Explore codebases through graph queries on relationships
• Feed structured code metadata into MCP-compatible workflows

How to use

Install

pip install codegraphcontext

Tested with

Cursor, Windsurf, Cline, VS Code, ChatGPT

Notes

An MCP server and CLI tool that indexes local source code into a graph database. It surfaces structural context about code relationships to AI assistants for more informed responses.

3,549 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Provide AI coding assistants with dependency and call-graph context
• Explore codebases through graph queries on relationships
• Feed structured code metadata into MCP-compatible workflows

Pros

• Open source with strong community traction (3,549 stars)
• Follows the Model Context Protocol for easy integration with AI tools
• Python-based CLI keeps setup lightweight for Python projects

Cons

• Requires running a local graph database instance
• Limited to languages supported by the indexing parser
• MCP ecosystem adoption is still growing

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