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Build a knowledge graph from repos for Q&A and implementation planning.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repo-graphrag-mcp" yet — see the docs or source repo.
Build a knowledge graph for the current repository and summarize the core modules, main dependencies, and key entry files.
A repository overview describing module responsibilities, dependencies, and important code entry points.
Query the knowledge graph and answer: "How is the user authentication flow implemented?" Include related files, functions, and call chains.
A context-grounded answer with related files, functions, and call paths.
Using the current codebase and documents, plan an implementation for adding an audit logging feature, including affected modules, change steps, risks, and testing suggestions.
A step-by-step implementation plan covering change scope, dependency impact, risks, and testing strategy.
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 codebases into a searchable graph for structure, calls, and routes.
Build a searchable code graph so AI agents can understand repositories precisely.
Provides an MCP server for RAG and knowledge graph integration.