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Get structured, read-only insights into local code repositories and project setup.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "repo-intelligence-mcp" yet — see the docs or source repo.
Inspect this local repository and summarize its directory structure, main languages, dependencies, runnable scripts, and key config files. Then explain the project's purpose and tech stack in English.
A clear project overview including the directory tree, tech stack, dependencies, and configuration notes.
Analyze package.json, Makefile, Dockerfile, and other config files in the repository to identify install, start, test, and build commands, then rank them by likely importance.
An organized command list explaining each script or command and the likely execution order.
Review the repository's dependency declarations, environment config files, and CI/CD-related scripts. Point out potential maintenance risks, missing configuration, or improvement opportunities without changing any files.
A read-only review report listing configuration risks, missing items, and improvement suggestions.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.
Index local Git repos for fast code search and snippet retrieval.
Help AI agents navigate, search, and understand codebases and change history.
Bring GitHub repositories into AI context for search, file access, and analysis.
Connect GitHub repos so AI can analyze and build from real code.
Analyze any codebase and deliver structured, token-efficient context for AI assistants.