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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 a monorepo into a graph for fast code structure queries.
Build a knowledge graph from repos for Q&A and implementation planning.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Provides function-level code dependency graphs for callers and impact analysis.
Enable AI coding assistants to explore multiple repos and trace symbols across them.
Help agents discover code symbols, APIs, and relationships for accurate tool use.