"Tools for Reading Text from PDFs and Images" matching MCP servers:

Enables document conversion between PDF, DOCX, and Markdown formats to facilitate reading and editing complex files in AI tools like Claude Desktop or Cursor. It utilizes marker-pdf and pandoc to provide structured text versions of documents, helping to manage context and support unsupported file types.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

A local MCP server that gives Claude a durable reading room for EPUB and plain text books, enabling chunk-by-chunk navigation, annotations, progress tracking, and shared margin cards.

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables users to directly edit authoritative Markdown context and tables within Codex, review the complete text before saving, and commit tracked immutable revisions with version history.

Read and filter Excel, CSV, ODS, SQLite, Parquet and MTSV files — or a folder — as plain text

MCP server for uploading local images to Sanity CMS. Enables AI assistants to upload files from your filesystem directly into Sanity as image assets.

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

An open source implementation of the Claude built-in text editor tool versions: text\_editor\_20241022 (Claude 3.5 Sonnet) text\_editor\_20250124 (Claude 3.7 Sonnet)

Enables AI assistants to perform advanced file editing operations with enhanced security, automatic backups, and undo functionality.

Converts PDF files to text for use with MCP-compatible applications like Cursor IDE.

Enables AI agents to perform file operations through the GigAI Tools API, such as merging PDFs, converting and compressing images, extracting PDF text, and generating QR codes, with results saved locally and tools synced from the live API catalog.

A Model Context Protocol (MCP) server that provides line-oriented text file editing capabilities through a standardized API. Optimized for LLM tools with efficient partial file access to minimize token usage.

50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.

An MCP server that exposes macOS Spotlight search as tools, wrapping mdfind and mdls to provide full-text and metadata file search across the system.

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.

MCP server for accurately reading and writing Excel .xlsx files while preserving structure, styles, and formulas. Provides tools for inspecting, editing, and aggregating spreadsheet data, with optional LibreOffice recalculation.

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)

Enables file reading with pagination and regex-based code search across a codebase using grep.