Enables AI agents to recruit real humans for evaluation tasks like surveys, A/B tests, and ratings on text, images, audio, and video, returning aggregated results directly into the conversation.
Enables programmatic access to EndNote .enl libraries, allowing users to list, search, and extract full text from bibliographic references and their attached PDFs through MCP tools.
Extracts structured JSON data from unstructured text using predefined schemas for receipts, invoices, resumes, and emails. It allows users to transform messy text into organized data through built-in or custom-defined fields.
MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.
Simulate hundreds of AI agents to predict how communities react to events and policies. Upload any document (PDF, Markdown, text) and DeepMiro spawns a diverse swarm of AI agents that debate, share, and form opinions — then delivers a calibrated prediction report. Free and open-source.
An MCP server that allows LLMs to read and search the text of ebooks from Book Orbit, using a navigation-first approach with chapter listing and paginated text retrieval.
An MCP server for reading, rendering, and searching PDF files, specifically optimized for LLMs to extract text, tables, and technical diagrams. It enables metadata retrieval, multi-format text extraction, and page-to-image rendering using PyMuPDF.
Enables AI clients to search for academic papers, fetch metadata by DOI, retrieve open access PDF links, and extract full text from research papers using the Unpaywall API. Provides seamless access to scholarly literature for research and analysis tasks.
Enables document and image parsing to extract text, tables, and formulas from PDFs, screenshots, and scanned documents. Features OCR capabilities, table recognition, LaTeX formula conversion, and MLX acceleration optimized for Apple Silicon.
Enables searching, retrieving, and reading academic papers from arXiv while analyzing citation networks via Semantic Scholar. It allows users to extract full-text content from PDFs and explore references or citations sorted by impact.
Enables LLMs to read and extract content from PDF files with high-fidelity LaTeX recognition and layout awareness using a Python-based extraction engine. It includes a robust Node.js fallback and supports page range filtering for efficient processing of large documents.
Enables AI assistants to fetch Bible verses, passages, and chapters from MyBible-format SQLite databases, supporting multiple translations and clean text output.
A Model Context Protocol server that enables the extraction of text, metadata, and embedded images from PDF files. It provides tools for searching text with context, reading specific pages, and counting total pages within a document.