"Information about extraction techniques or processes" matching MCP servers:

An MCP server that provides a tool to extract text content from local PDF files, supporting both standard PDF reading and OCR capabilities with optional page selection.

Provides tools to monitor host system health including CPU load, disk usage, and network status while enabling file system management tasks like searching and moving files. It includes built-in safety guards to prevent operations on critical system directories.

Enables users to ask natural-language questions about a local folder's contents, including file names, sizes, and timestamps, with rollups by type and age and cleanup suggestions for stale or large files. It returns metadata only and cannot read, move, or delete files.

Reads and searches local email archives (.mbox or .eml) with full MIME parsing, enabling queries about senders, subjects, dates, and bodies while keeping all data on your machine.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Fast, local PDF parsing as an MCP server with text extraction, bounding boxes, OCR, and visual citations. No cloud or API key required.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

Runs as an MCP server providing file system operations, shell execution, and system information tools, allowing Claude or any MCP client to edit files and control the machine.

A Python MCP server that provides controlled access to local filesystem, terminal, processes, and SAP HANA Cloud, enabling Claude to interact with your machine and databases securely.

Enables saving AI conversation histories as clean, organized markdown notes with automatic filtering of thinking processes and tool execution details, timestamping, and customizable conversation turn limits.

A comprehensive tool server for reading, merging, and extracting content from PDF files via local paths or direct URLs. It enables metadata retrieval, regex searching, and page-specific text extraction with built-in caching and workspace-restricted security.

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.

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.

An MCP server for local PDF manipulation including merging, splitting, rotating, watermarking, and text extraction. It works with various MCP-compatible clients and processes PDFs entirely on-device without cloud services.

Enables accessing and extracting files from remote zip archives over HTTP, HTTPS, and FTP without downloading the entire archive. Supports listing files, extracting individual files, and getting file information using partial reading techniques.

Enables comprehensive management of Microsoft Word documents with 30+ tools for reading, writing, formatting, template merging, image extraction, equation extraction, and style application.

Production-grade MCP server that gives AI agents safe access to your local dev environment: filesystem, databases, processes, and OpenAPI specs.

A Python server that enables interaction with Box files and folders through the Box API, allowing operations like file search, text extraction, and AI-based querying and data extraction.

Converts PDF, Word, and Excel documents to Markdown with image extraction and header/footer removal via MCP or REST API.

Enables Claude to read and analyze project schedule files in OmniPlan (.oplx) and Microsoft Project (.mpp) formats, answering questions about tasks, milestones, resources, and progress.