"Tools or methods for performing OCR on PDFs" matching MCP servers:

OCR images or pdfs, locally or by URLs by using Mistral OCR API (paid)

Extracts text from images using Tesseract OCR with support for local files, URLs, and raw image bytes. It provides production-grade OCR capabilities and multi-language support through the Model Context Protocol.

Provides OCR services powered by Google's Gemini API to extract text from images via file paths or base64 strings. It enables high-accuracy text recognition and CAPTCHA processing through simple MCP tools.

Enables AI agents to recognize and extract text from images using PaddleOCR, supporting both file paths and base64 input with structured results including confidence scores and text positions.

Provides Dify apps with a secure, app-scoped MCP tool catalog and action gateway for authorized FlowFlox operations, enabling intent-driven planning and fixed operational processes without exposing global credentials.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

mcp using PyPDF2 to: • merge-pdfs • extract-pages • search-pdfs • merge-pdfs-ordered (merge in user spec. order) • find-related-pdfs (regex extracted text for related PDF files)

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Provides intelligent OCR and PDF processing capabilities that automatically detect whether PDFs contain digital text or scanned images and apply appropriate extraction methods. Supports text extraction, OCR processing, structure analysis, and batch operations.

Transforms any API into an intelligent MCP agent in seconds, enabling natural language interaction with APIs through the Model Context Protocol.

Enables AI assistants to request information and clarification from humans via Slack, supporting multiple roles and transport modes.

Enables AI agents to read, write, and edit Office documents via LibreOffice with token-efficient design. Supports multiple formats including DOCX, XLSX, PPTX, and legacy formats through LibreOffice bridge.

Enables rigging, animation, and VFX workflows for Roblox through an MCP-compatible chat client, connecting Blender and Roblox Studio for tasks like skeleton fitting, keyframe editing, particle effects, and FBX export.

A Tesseract.js-based server that enables image-to-text recognition within MCP-compatible environments like Cursor. It supports multiple languages and common image formats, allowing users to extract text from local files using natural language commands.

A server based on the MCP framework that provides remote server management capabilities through SSH, supporting features like connection pooling, file transfers, and remote command execution.

An MCP server that provides Claude with comprehensive desktop automation capabilities including browser control, window management, and native mouse/keyboard input on Windows. It enables users to capture screenshots, launch applications, and interact with the system clipboard through natural language.

A comprehensive Model Context Protocol server providing access to 70+ IT tools for developers and system administrators, including encoding/decoding, text manipulation, hashing, and network utilities.

An optimized Model Context Protocol server for document OCR processing using Mistral AI with support for high-performance batch operations and async connection pooling. It enables efficient extraction of text and tables from local files or URLs into structured markdown and HTML formats while minimizing token costs.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.