MCP server for the Paraph e-signature API that enables AI tools to fill PDF forms and manage electronic signing workflows. It provides tools for template management, document filling, sending signing requests, and tracking signing progress.
Parse any file or URL into structured text. Extract text from PDF, DOCX, YouTube, web pages, images, and 25+ formats via one API. Tools: parse_url, parse_file, get_youtube_transcript.
A dev-time MCP server that lets coding agents read documentation directly from installed @particle-academy/\* packages, ensuring version-matched docs without network calls.
Enables searching and retrieving particle physics data from the Particle Data Group in real-time, including particle properties and decay modes through natural language queries.
Provides AI assistants like Claude or Cursor with access to Payman AI's documentation, helping developers build integrations more efficiently.
Enables Claude AI to analyze Power BI Desktop models with comprehensive capabilities including DAX analysis, performance monitoring with Storage Engine/Formula Engine breakdown, VertiPaq statistics, and natural language querying of model structure and data.
An MCP server that translates scientific PDF documents while preserving original formulas, charts, and layout. It utilizes an OpenAI-compatible backend to provide tools for document translation and language listing.
Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.
A local document processing toolkit for AI agents that extracts text, converts PDFs to Markdown, merges files, extracts tables, and summarizes documents without external API dependencies.
An MCP server that enables interaction with the PDF Generator API for automated document generation and management. It supports both stdio and HTTP transports, allowing AI models to create and handle PDFs using OpenAPI v4 specifications.
Turn markdown into designed PDFs with cover page, table of contents, and code blocks that hold across pages. One command from Claude Desktop, Claude Code, Cursor, Cline, Zed, or any MCP-capable client.
An MCP server that provides tools for reading, writing, and manipulating PDF files, including text extraction, metadata retrieval, and merging or splitting documents. It also enables users to create PDFs from plain text and convert specific pages or entire documents into images.
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.
PDF Merge AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
PDF extraction that actually works. The only extractor that audits every page. #2 on opendataloader-bench. 5 MCP tools for AI agents: metadata, convert, analyze, batch, structured extraction.
A MCP server that supports AI assistants to read and analyze PDF files, providing functions such as PDF metadata extraction, page range reading, and keyword search
Empowers AI agents to securely read and extract information (text, metadata, page count) from PDF files within project contexts using a flexible MCP tool.
Enables reading and extracting content from PDF documents including text (as Markdown), images, tables, and metadata from both local files and URLs, with OCR support for scanned documents.
Enables reading and extracting text content from PDF files, supporting both local file system access and remote PDF URLs with automatic encoding detection.
Enables reading, searching, and metadata extraction from PDF files without loading the entire content into the context window. It provides efficient tools for text cleaning, page-specific extraction, and context-aware search results.