Extract raw text and metadata from any public HTTPS URL. Get page title, word count, and content from online articles and documents.
MIT
531,412 tools. Updated 2026-09-08 00:35
"A tool for uploading and analyzing documents, extracting text from PDFs, and conducting research" matching MCP tools:
- Summarize long documents into a concise prose summary and key points, each with cited evidence. Use after extracting text or URL content to quickly grasp key takeaways.MIT
- Extract text content from email attachments inline. Supports PDFs, text, CSV, JSON, ICS, and EML files, ideal for reviewing invoices, reports, or presentations without downloading.Apache 2.0
- Retrieve a temporary link to download or view transaction invoice PDFs from Paddle for payment verification and tax reporting purposes.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
- Extract raw text from base64-encoded PDFs or images for AI analysis such as summarization, claim checking, or structured extraction. Returns page count and text content.MIT
Matching MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.AGPL 3.0
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
Matching MCP Connectors
Rick and Morty MCP — wraps the Rick and Morty API (free, no auth)
Congressional Documents — full-text search and retrieval over the official
- Display image attachments as viewable images when local file access is unavailable. Inspect photos and scans directly; for text and PDFs, use read_attachment.Apache 2.0
- Open any file attached to a Todoist comment by providing its fileUrl, rendering images inline, text as readable text, and binary files like PDFs as embedded resources.MIT
- Retrieve research attachments for a bot: validation JSONs, backtest PDFs, whitepapers, and blueprint markdowns. Shows local path and existence to prepare Supabase storage uploads for bot card attachments.MIT
- Extract figures, tables, and equations from PDF documents using layout detection. Returns base64-encoded images of detected elements with metadata from academic papers or any PDF URL.Apache 2.0
- Extract text content from arXiv paper PDFs using the paper ID to access and process academic research documents for analysis.MIT
- Convert scanned PDFs or images into searchable PDFs by running OCR and adding an invisible text layer, enabling full-text search in documents that were previously unsearchable.MIT
- Extract text content from medRxiv paper PDFs using DOI identifiers for analysis and research purposes.MIT
- Converts plain text documents into dense vector embeddings and upserts them into a Zvec collection for storage.Apache 2.0
- Read text content from PDF, TXT, MD, DOCX, or CSV files. Supports page ranges and auto-OCR for scanned PDFs.MITDestructive
- Extract text content from DOAJ papers by providing the paper identifier. Downloads and processes PDFs to retrieve readable text for research and analysis.MIT
- Find recently modified documents in RSpace by specifying a timeframe and optional text search to locate current research data.AGPL 3.0
- Extract structured content and layout from PDFs, images, and Office files. Supports output formats like HTML, text, and markdown.MIT
- Extract text content from bioRxiv paper PDFs using DOI identifiers to access and analyze scientific research documents.MIT
- Extract text content from OpenAIRE research papers by providing a paper identifier. Downloads PDFs to a specified directory and returns the extracted text for analysis.MIT
- Extract text content from academic papers using the BASE paper identifier. Downloads and processes PDFs to provide readable text for research analysis.MIT