CodeGraphContext (CGC)

CodeGraphContext is a high-performance Code Intelligence Engine that transforms your source code into a queryable property graph. By indexing semantic relationships—such as function calls, class hierarchies, and module dependencies—CGC enables both developers and AI agents to navigate and understand complex codebases with unprecedented depth.

Key Capabilities

• Semantic Indexing: Goes beyond simple text search by understanding the structural relationships of your code using Tree-sitter and SCIP.
• MCP Integration: Native Model Context Protocol (MCP) support allows AI assistants (Claude, Cursor, VS Code) to perform deep architectural queries.
• Multi-Backend Support: Choose between KùzuDB (embedded), FalkorDB (high-performance), or Neo4j (enterprise) depending on your scale and visualization needs.
• Live Monitoring: Automatically keeps the code graph in sync with your local changes using background watchers.
• Portable Bundles: Package and share indexed codebases as .cgc bundles for instant loading without re-indexing.

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Getting Started

Follow these steps to integrate CodeGraphContext into your workflow:

1. Installation: Install the CLI and choose your database backend.
2. Quickstart: Index your first repository in under 5 minutes.
3. MCP Setup: Connect CGC to your favorite AI assistant.

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Core Architecture

CGC operates as a bridge between your raw source files and your development tools.

graph TD
    A[Source Code] --> B(Tree-sitter / SCIP Parser)
    B --> C{Graph Builder}
    C --> D[KùzuDB / FalkorDB / Neo4j]
    D --> E((CGC CLI))
    D --> F((MCP Server))
    F --> G[AI Agents: Claude, Cursor, etc.]

For a deeper dive into the system design, see the Architecture Guide.

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Why CodeGraphContext?

Modern codebases are too large to hold in a single context window. CodeGraphContext solves this by providing:

• Precision: Find exactly who calls a function across 100+ modules instantly.
• Context: Provide AI agents with the specific graph slices they need to solve complex bugs.
• Efficiency: Reduce re-indexing time with incremental updates and pre-built bundles.

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