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Provide structured code context and dependency graphs for efficient codebase understanding.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codegraph-ai" yet — see the docs or source repo.
Use codegraph-ai to analyze this repository and summarize the core modules, their dependencies, and the main execution flow.
A project overview with key modules, dependency summaries, and the main call flow.
Use codegraph-ai to find code related to user login and authorization, and list the files, functions, and upstream/downstream dependencies involved.
A list of relevant code locations, key functions, and their dependency and call relationships.
Use codegraph-ai to assess the impact of refactoring the payment module, identifying direct dependencies, indirect dependencies, and high-risk change points.
An impact analysis with affected modules and the highest-priority risk areas to review.
Query code structure and cross-language relationships via MCP with auditable access logs.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Gives AI coding agents a structural map of your repository fast.
Index codebases into a searchable graph for structure, calls, and routes.
Index a monorepo into a graph for fast code structure queries.