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Search, analyze, and map dependencies across any file directory efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "omni-rag-mcp" yet — see the docs or source repo.
Give me an overview of this project directory, including main modules, key files, folder structure, and dependencies between modules. Also tell me which files I should read first.
A codebase guide with module summaries, structure overview, dependency relationships, and a recommended reading path.
Search this directory for implementations related to user authentication and authorization. Identify the most relevant files, functions, and configurations, and briefly explain how they relate.
A list of key authentication and authorization code locations with a concise relationship analysis.
Analyze the module dependency graph in this project directory. Identify highly coupled areas, potential circular dependencies, and structural issues that may affect maintainability.
A dependency risk analysis highlighting tightly coupled modules, circular dependencies, and structural improvements.
Search, read, and list Obsidian notes with natural language semantic retrieval.
Let AI index and search local and online sources inside your IDE.
Index local documents and run hybrid semantic-keyword search on-device.
Connect local or cloud LLMs to files and web search via containers.
Use RAG tools for knowledge retrieval, document management, and search visualization.
Use MCP to query knowledge hubs, search collections, and summarize documents.