codegraphcontext

Name: codegraphcontext
Availability: InStock
Author: CodeGraphContext

Index code repositories into graph databases for querying via CLI or MCP.

4.1k|804|Updated Aug 16, 2025

Search Tags:#MCP integration #graph database #AI code analysis #codebase indexing #code graph

Ready to run

npx skills add https://github.com/CodeGraphContext/CodeGraphContext --skill codegraphcontext

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codegraphcontext
Source: https://github.com/CodeGraphContext/CodeGraphContext/tree/main/.cursor/skills/codegraphcontext
Command: npx skills add https://github.com/CodeGraphContext/CodeGraphContext --skill codegraphcontext

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of making code repositories easily searchable and queryable by AI agents, enabling efficient code graph analysis and AI-powered code insights.

Core Features & Use Cases

Code Graph Indexing: Indexes code repositories into a graph database for semantic and code graph search.
Query via CLI or MCP: Allows querying the indexed graph database through a command-line interface or a Machine Code Platform (MCP).
Use Case: For a developer looking to quickly find related code or understand the structure of a large codebase, this Skill can be used to index the codebase and then query it for specific code relationships or components.

Quick Start

Install CodeGraphContext and index your repository with cgc index ..

Frequently Asked Questions about codegraphcontext

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I index a code repository as a graph database for AI analysis?▼

You can query the indexed code graph using a command-line interface or through MCP integration, retrieving specific code relationships and components for AI-powered code insights.

How does code graph indexing help map relationships in a large codebase?▼

Code graph indexing maps relationships in a large codebase by transforming repository structures into a queryable graph database, allowing developers to find related code and understand structural dependencies efficiently.

Do I need a Python environment to use code graph search on my repositories?▼

Yes, you need a Python environment with the CodeGraphContext library installed to perform code graph indexing and search operations on your repositories.

Can I query codebase structures via MCP integration for AI agents?▼

Yes, you can query codebase structures via MCP integration, allowing AI agents to navigate and understand indexed code relationships through the Machine Code Platform.

What is the best way to enable AI agents to understand and navigate code structures?▼

The best way to enable AI agents to navigate code structures is indexing repositories into a graph database, which provides semantic search and relationship mapping for AI-powered code insights.