CodeGraphContext

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CodeGraphContext is a Coding & Development tool that indexes local code into a queryable graph database. It provides context to AI assistants and developers, supporting multiple programming languages and database backends.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is CodeGraphContext?

CodeGraphContext is a powerful MCP server and CLI toolkit designed to transform code repositories into queryable graph databases. It indexes local code to provide rich context to AI assistants and developers, bridging the gap between deep code graphs and AI understanding. The tool offers comprehensive code analysis as a standalone CLI, allowing users to query relationships, find dead code, and analyze complexity. It also functions as an MCP server, connecting to AI IDEs like VS Code and Cursor, enabling AI agents to query codebases using natural language. CodeGraphContext supports 14 programming languages, offers flexible database backends like KùzuDB and FalkorDB Lite, and can generate interactive visualizations of code graphs.

Best used for

Ideal for developers who need to understand complex codebases, provide AI assistants with deep code context, and visualize code relationships. Especially valuable for those working with multiple programming languages and requiring flexible database options for code graph storage.

Common actions

index code

analyze code relationships

provide AI context

visualize code graphs

detect dead code

deepfakeopen-sourceautomated workflowworkflowsgithub copilotcollaborationlow-code/no-codeface swapping"AI Agents"

Capabilities

Key features

Code indexing
Relationship analysis
Pre-indexed bundles
Live file watching
Interactive setup wizard
Multi-language support
Flexible database backend

Target Audience

developer

Integrations

vscodecursorclaudechatgpt

Pricing & Plans

Open Source

Free

FAQs

What programming languages does CodeGraphContext support?

CodeGraphContext provides comprehensive parsing and analysis for 14 programming languages, including Python, JavaScript, TypeScript, Java, C/C++, C#, Go, Rust, Ruby, PHP, Swift, Kotlin, Dart, and Perl. Each language parser extracts key components like functions, classes, and inheritance relationships.

What database options are available for CodeGraphContext?

CodeGraphContext supports multiple graph database backends. KùzuDB is the default on Windows, while FalkorDB Lite is typically preferred on Unix systems (Python 3.12+). For larger-scale or server-based needs, Neo4j can also be configured as an alternative backend.

Can CodeGraphContext integrate with AI development environments?

Yes, CodeGraphContext can function as an MCP server to integrate with various AI IDEs and assistants, including VS Code, Cursor, Windsurf, Claude, Gemini CLI, ChatGPT, and others. It allows AI agents to query your codebase using natural language for enhanced understanding.

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Subcategories trending in Coding & Development

Open Source & Models Code Assistants DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs

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Also listed in

This tool also appears in

Productivity & Business › File & Knowledge Org

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