$ loading_
Build a searchable code graph so AI agents can understand repositories precisely.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-reposkein" yet — see the docs or source repo.
Using the current repository code graph, analyze which core files, classes, and functions the user authentication module depends on, and summarize their call relationships in a hierarchical structure.
A summary of key authentication nodes, dependency paths, and call hierarchy.
I am about to change the payment retry logic. Based on the repository code graph, identify all affected modules, interfaces, test files, and possible downstream risks.
A list of impacted areas, related files, and potential regression risks.
Using this repository's code graph, create a quick onboarding guide for a new developer, including the project entry points, main service boundaries, key data flows, and a recommended reading order.
An onboarding-oriented repository guide with structure overview and learning path recommendations.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Index a monorepo into a graph for fast code structure queries.
Search and navigate multiple code repositories with natural language understanding.
Semantic code graph search for coding agents to understand structure and dependencies.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.
Index codebases into a searchable graph for structure, calls, and routes.