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599,978 tools. Updated 2026-09-22 10:07

"A tool for summarizing local documents" matching MCP tools:

  • Reduce cloud token usage by compressing large text content with a local LLM. Ideal for summarizing logs, files, or verbose context before sending to Claude.
    Apache 2.0
  • Analyze local images for OCR, content extraction, description, comparison, or question answering with a single API call.
    MIT
  • Fetch a local documentation page as plain text and HTML. Supports chunking large documents for easier processing.
    MIT
  • Create a named local vector index for retrieval-augmented generation. Documents added are embedded via Ollama for local RAG without cloud dependencies.
    -

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  • Retrieve complete, untruncated markdown bodies for 1-5 guide IDs obtained from the guide index. Prevents missing-content errors by requiring exact IDs and returns verbatim documents for local use.
    LGPL 3.0
  • Analyzes documents to automatically create JSON schemas for structured data extraction, enabling consistent field definitions across similar documents.
    MIT
  • Download a full captured session into a secure local artifact for another AI tool. Use when the whole session, including messages, tool calls, results, and diffs, is needed, not a summary.
    Apache 2.0
  • Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.
    MIT
  • Download and decrypt attachments—images, voice, videos, documents—from a chat message. Saves a local copy for transcription or other uses.
    MIT
  • Create a new document collection to organize related documents and enable semantic search across their contents. Returns a collection ID for managing documents.
    MIT
  • Extract text from images using offline OCR. Reads text from screenshots, documents, and photos via local file paths or base64 data.
    MIT
  • Lists running Revit processes and their active documents, providing document and version details to help select a target instance for subsequent commands.
    MIT