Parse local documents (PDF, Word, Excel, HTML) into markdown or structured JSON. Extract content with format selection and PDF-specific options.
MIT
305,053 tools. Last updated 2026-07-22 21:11
"A server for finding PDF documents" matching MCP tools:
- Index local research documents (PDF, Markdown, JSON, TXT) into the Onyx RAG knowledge base. These documents become searchable for instant retrieval and querying.MIT
- Split a PDF into multiple documents by specifying page ranges. Each range produces a separate PDF file.MIT
- Retrieve specific financial documents by ID to access content, metadata, and extracted PDF text for comprehensive market analysis.MIT
- Ingest documents (PDF, DOCX, TXT, MD) into a vector database for semantic search. Supports updating existing documents and visual captioning for PDF figures.MIT
- Embed files as attachments into a PDF to bundle supporting documents, receipts, or source data that travel with the PDF and can be extracted by readers.MIT
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- Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images with metadata for academic papers or any PDF URL.Apache 2.0
- Search across all indexed PDF documents with full-text queries. Returns matching documents, snippets, and match counts.MIT
- Search for text within a PDF file and retrieve page numbers along with surrounding context to quickly locate specific content in large documents.MIT
- Compile selected Scrivener documents into a formatted PDF with customizable metadata, chapter headers, and layout options for manuscript export.
- Extracts text from images, Word documents, and PDF files using OCR. Returns recognized text content.MIT
- Retrieve indexed PDF documents for a vendor, optionally filtered by part number, returning count and document metadata.
- Retrieve signed documents from a DocuSeal submission. Optionally merge multiple files into a single PDF or download documents locally for storage and processing.
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- Extract text content from PDF documents with optional metadata and formatting preservation for data processing and analysis.
- Extract content from specific pages or page ranges of PDF documents to retrieve text or structured data for focused analysis.
- Add documents to a collection by providing a URL for download, processing them for text extraction, and indexing them for semantic search.MIT
- Read raw source documents with automatic text extraction for PDF, DOCX, XLSX, PPTX, and plain text. Paginate by pages, sheet, or line offset.MIT
- Convert documents between 100+ formats including Office, PDF, images, and web pages. Accepts local files, URLs, or base64 input without requiring a stored template.Apache 2.0
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