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Joncallim

PDF Inline Image RAG MCP

by Joncallim

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    • A
      license
      A
      quality
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      maintenance
      Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.
      5
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Enables AI agents to search any local folder through a private SQLite FTS5 index that extracts text from PDFs, Office documents, plain text, code and zip listings, returning ranked matches instead of slow ls/grep scans. It also supports metadata and glob listing, paged retrieval of already-extracted text, duplicate detection, and incremental background re-indexing with secrets and caches excluded by default.
      8
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables agents to run full-text search inside Word, PowerPoint, Excel, PDF, and plain-text files by extracting their contents into a single local SQLite FTS5 index. Exposes tools to search documents with ranked highlighted snippets and human-readable locators, list indexed files, and incrementally build or refresh the index.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables intelligent search and question-answering over PDF documents using semantic similarity and keyword search. Supports OCR for scanned PDFs, persistent vector storage with ChromaDB, and maintains source tracking with page numbers.
      6
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables extraction of structured data from documents like invoices, receipts, and bank statements using local Vision AI (Ollama) or cloud providers (Gemini), with data stored in a local SQLite database.
      5 npm
      MIT