Production-ready MCP server for PDF processing with intelligent caching.
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 See what your AI agent sees → Drop in any PDF and watch an agent…
Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.
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 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%…