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Index codebases into a searchable graph for structure, calls, and routes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-graph-mcp" yet — see the docs or source repo.
Using the codebase knowledge graph, summarize the core modules, responsibilities of major directories, and dependencies between modules in bullet points.
A clear project structure summary covering core modules, directory responsibilities, and key dependencies.
Starting from the function handlePayment, trace its upstream callers and downstream callees, and highlight the key files and possible error-handling paths involved.
A call-chain analysis showing upstream and downstream relationships, related files, and error-handling nodes.
Find where the HTTP route /api/orders/:id is defined, and explain which middleware, controllers, and data access layers it goes through.
A route trace that locates the definition file and outlines the request processing flow.
Index a monorepo into a graph for fast code structure queries.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Query code structure and cross-language relationships via MCP with auditable access logs.
Build and query a codebase knowledge graph with relationships and rationale.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Index repositories into a persistent graph for fast code search and understanding.