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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.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Search repositories semantically and turn codebases into AI-ready context and knowledge.
Safely inspect local codebases with indexing, search, outlines, and AI-ready context.
Analyze code structure and Git history while drastically reducing AI token usage.
Index local Git repos for fast code search and snippet retrieval.
Query a local repo index for deterministic code search and analysis.