danielkennedy1/pdf-tools-mcp

Overview

A Python-based Model Context Protocol (MCP) server that provides utilities for downloading, viewing, and manipulating PDF files. It enables AI agents to perform common PDF operations through a standardized protocol, supporting tasks like text extraction and basic document transformations.

Best for

Best for
Developers building AI agents that need basic PDF handling capabilities via the Model Context Protocol

Use cases

• Download PDFs from URLs for further processing by an agent
• Extract text content from PDFs for analysis or indexing
• Manipulate PDFs by merging, splitting, or rotating pages

Notes

A Python-based Model Context Protocol (MCP) server that provides utilities for downloading, viewing, and manipulating PDF files. It enables AI agents to perform common PDF operations through a standardized protocol, supporting tasks like text extraction and basic document transformations.

31 stars on GitHub. Last updated 2025-05-17. Licensed MIT.

Use cases

• Download PDFs from URLs for further processing by an agent
• Extract text content from PDFs for analysis or indexing
• Manipulate PDFs by merging, splitting, or rotating pages

Pros

• Lightweight and easy to integrate into MCP-compatible workflows
• Written in Python, making it accessible for most developer stacks
• Open source with a permissive license for customization

Cons

• Small user base (31 stars) implies limited community support and testing
• May lack advanced features like OCR, form filling, or complex layout preservation
• Documentation is minimal, requiring users to read the source code for details

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.