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Provides function-level code dependency graphs for callers and impact analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codegraph" yet — see the docs or source repo.
Analyze this codebase and list the direct callers of function foo, including file and function names.
A list of foo's direct callers with file paths, function names, and call sites.
If I change function bar's signature, analyze affected upstream and downstream functions and potential risks.
An impact report with affected function chains, dependency scope, and risks.
Map the module's core call chains from a function-dependency perspective and identify the key entry functions.
A call-chain map, key entry points, and a dependency structure summary.
Query code structure and cross-language relationships via MCP with auditable access logs.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Index a monorepo into a graph for fast code structure queries.
Query, understand, and edit large multilingual codebases with AI knowledge graphs.
Helps AI understand code architecture through real-time relationship graphs and dependencies.
Build a knowledge graph from repos for Q&A and implementation planning.