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Connect local code and docs for fast AI vector-based retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ragtag-mcp" yet — see the docs or source repo.
Search the currently indexed codebase for implementations related to 'user permission validation' and list the most relevant files, functions, and brief notes.
Returns relevant source files, function locations, and purpose summaries to quickly locate the implementation logic.
Search the indexed project documentation for 'local development environment setup steps' and organize them into a clear checklist.
Outputs setup steps and key notes compiled from the retrieved documentation.
Using the indexed content, find documentation related to the 'API authentication flow' and map it to the actual implementation files.
Provides relevant documentation excerpts, matching code files, and an explanation of how they relate.
Let AI securely query private local documents with persistent memory.
Index documents and retrieve relevant context for better LLM responses.
Search local codebases semantically with hybrid retrieval for faster code discovery.
Search code and technical docs privately with local-first RAG for developers.
Index and semantically search code, PDFs, and documents with exact citations.
Retrieve relevant context and metadata from Qdrant using natural language queries.