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Query code structure and cross-language relationships via MCP with auditable access logs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codegraph-mcp" yet — see the docs or source repo.
Using codegraph-mcp, find the definition of `processOrder`, its direct callers, called functions, and the cross-file call chain. List the results hierarchically.
A hierarchical summary of the function’s symbol details, callers, callees, and call chain.
Use codegraph-mcp to identify symbol relationships between the frontend TypeScript modules and backend Python services. List API entry points, matched handlers, and related file paths.
A list of cross-language connection points, symbol mappings, and involved files.
Using codegraph-mcp, summarize all queries against the payment module from the last week, including timestamps, queried targets, and audit log identifiers.
A chronological audit summary of queries to help trace access and investigate changes.
Index codebases into a searchable graph for structure, calls, and routes.
Index a monorepo into a graph for fast code structure queries.
Build and query a codebase knowledge graph with relationships and rationale.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Build a queryable code graph, validate edit scope, and log reasoning.