by jztan · MCP Server · ★ 100
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pdf-mcp safe to install? View the security audit →
pdf-mcp Surgical PDF access for AI agents — search, read, and extract without flooding context. A Model Context Protocol (MCP) server that enables AI agents to read, search, and extract content from PDF files. Built with Python and PyMuPDF, with SQLite-based caching for persistence across server restarts. mcp-name: io.github.jztan/pdf-mcp Try it in your browser See what your AI agent sees → Drop in any PDF and watch an agent skim it, search it, and read only the pages that matter — using a fraction of the tokens. 100% client-side, no install required. [<img src="https://raw.githubusercontent.com/jztan/pdf-mcp/develop/docs/images/demo.gif" alt="pdf-mcp browser de
| Stars | 100 |
| Forks | 8 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 81.3392335563874/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-09 |
| Created | 2026-01-28 |
| Platforms | claude-code, cli, codex, mcp, python |
| Est. Tokens | ~17k |
Looking for a pdf-mcp alternative? If you're comparing pdf-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently
📜 An MCP server for conversation history search and retrieval in Claude Code
MCP server for YouTube — search videos, get transcripts, channels, and playlists. Works with Claude, Cursor &
A Model Context Protocol (MCP) server implementation that integrates with the Nutrient Document Web Service (D
Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, use
Explore other popular mcp server tools:
pdf-mcp is MCP server that lets Claude Code and other AI agents work through large PDFs, and whole folders of them, without overflowing context: hybrid semantic + keyword search, selective page reading, tables, . It is categorized as a MCP Server with 100 GitHub stars.
pdf-mcp is primarily written in Python. It covers topics such as agentic-rag, ai, cjk.
You can find installation instructions and usage details in the pdf-mcp GitHub repository at github.com/jztan/pdf-mcp. The project has 100 stars and 8 forks, indicating an active community.
pdf-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pdf-mcp on Agent Skills Hub include pdfmux, claude-historian-mcp, youtube-connector-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.