Analyze local images for OCR, content extraction, description, comparison, or question answering with a single API call.
MIT
306,627 tools. Last updated 2026-07-25 16:35
"A tool for summarizing local documents" matching MCP tools:
- Create a named local vector index for retrieval-augmented generation. Documents added are embedded via Ollama for local RAG without cloud dependencies.
- Add documents from a local file to the knowledge base for semantic search and retrieval in RAG systems.
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.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
- Search for documents by their folder path using keywords at each level. Returns matching document filings.Apache 2.0
Matching MCP Servers
- Flicense-qualityDmaintenanceA Model Context Protocol server that allows AI assistants to discover, load, and process local documents on Windows systems, with support for multiple file formats and OCR capabilities for scanned PDFs.Last updated2
- Alicense-qualityDmaintenanceA local MCP server that runs Llama models entirely on your machine. No API keys, no cloud costs, 100% private and offline-capable.Last updatedMIT
Matching MCP Connectors
Let ChatGPT, Claude & Cursor use your Mac: email, calendar, iMessage, Teams, files. Local, free.
Find local businesses on Google: name, address, phone, hours, ratings, and photos.
- Analyzes documents to automatically create JSON schemas for structured data extraction, enabling consistent field definitions across similar documents.MIT
- Export PubMed citations to reference manager formats like RIS, BibTeX, and CSL-JSON for use in EndNote, Zotero, or LaTeX documents.Apache 2.0
- Scans a local directory for table-like files (CSV, Parquet) and optionally includes subdirectories.MIT
- Parse local documents (PDF, Word, Excel, HTML) into markdown or structured JSON. Extract content with format selection and PDF-specific options.MIT
- Find documents based on their position in a folder hierarchy by providing keywords for each path level. Returns matching document filings.Apache 2.0
- Retrieve a unified list of documents and document groups with filters by status, folder, expiration, and sorting options.MIT
- Index local research documents (PDF, Markdown, JSON, TXT) into the Onyx RAG knowledge base. These documents become searchable for instant retrieval and querying.MIT
- Search for documents by content and metadata criteria, narrowing results with filter conditions. Returns only released versions of matching documents.Apache 2.0
- Search for documents by name using keywords and optional class filter. Returns matching documents with confidence scores to help select the correct one.Apache 2.0
- Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.MIT
- Discover local SEO keyword suggestions with search volume and difficulty estimates. Use this tool to find relevant keywords for optimizing local search visibility.MIT
- Retrieve a list of all uploaded and processed documents for a specified volume. Use this to view documents stored in a shared memory volume.MIT
- Create a knowledge folder for organizing documents, enabling subsequent uploads via UI or API.MIT
- Download file attachments from RSpace documents to your local system. Retrieve images, data files, or other attachments by specifying the file ID and save location.AGPL 3.0