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Index a monorepo into a graph for fast code structure queries.
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 code-graph-mcp, query this monorepo's package structure. List all packages, their dependencies, and the main components or entry points exposed by each package.
A structured summary of packages, dependency topology, and key components or entry points.
Use code-graph-mcp to find the route for the user settings page, the component hierarchy involved, and all HTTP calls triggered by that page.
A route summary, related component chain, and API call list to understand the feature flow.
I plan to modify the shared Button component. Use code-graph-mcp to analyze which packages, pages, and components depend on it, and summarize the potential impact scope.
A dependency usage map and affected module list for Button to guide changes and testing.
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.
Index repositories into a persistent graph for fast code search and understanding.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Build a searchable code graph so AI agents can understand repositories precisely.