"ZDF" matching MCP servers:

Enables AI apps to extract tables from local text PDFs and return each table as CSV text, optionally saving the CSV files to a specified output directory.

This MCP server enables AI agents to view PDFs as accessible HTML with bounding-box citations, and provides tools for layout-aware parsing, schema extraction, cross-document Q&A, and PDF rendering.

An MCP server for high-quality bidirectional PDF ↔ Markdown conversion with full Unicode/CJK character support, enabling users to convert files via natural language commands.

Well-designed PDFs from a single prompt. Describe what you need, get a professional document.

Enables low-level PDF object-tree inspection and debugging through natural language, with lazy loading for token efficiency.

Gives a compatible coding agent read-only access to bounded local verification of changes inside a single host-chosen workspace, exposing six stdio tools that inspect capabilities, static checks, impact analysis, policy evaluation, evidence generation, and suggested tests without shell access, plugin loading, or repository upload.

MCP server for Aspose PDF Cloud, enabling PDF storage, conversion, and extraction operations (merge, split, text/table/image extraction) via CLI and MCP.

Upload, edit, compress, protect, redact, and compare PDFs with KDAN PDF in Claude and ChatGPT.

DreamFactory MCP Server enables AI assistants like Claude to directly query your databases through DreamFactory's auto-generated REST APIs. This Node.js server implements the Model Context Protocol (MCP), allowing natural language database interactions while maintaining enterprise-grade security.

Enables PDF conversion to DOC, merging multiple PDFs, reading document properties, and bundled storage file operations for complete upload-process-download workflows through MCP.

Enables comparison of baseline and counter-party contract clause revisions, flags high-risk shifts in indemnity, IP assignment, liability caps, and non-solicitation, and generates legal redline summaries with severity and escalation verdicts.