PDF Reader▌

by sylphxltd
Securely extract text, metadata, & pages from PDFs using Adobe Acrobat PDF editor software for local & remote files.
Securely extracts text, metadata, and page information from PDF files within a project directory using pdfjs-dist for both local files and remote URLs.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI agents processing document workflows
- / Content analysis and extraction pipelines
- / Document automation systems
- / Research and data mining from PDFs
capabilities
- / Extract text from PDF pages
- / Read PDF metadata and document info
- / Process remote PDFs via URLs
- / Extract specific page ranges
- / Retrieve images from PDFs
- / Handle multiple PDFs simultaneously
what it does
Extracts text, metadata, and images from PDF files, supporting both local files and remote URLs. Processes multiple PDFs with parallel processing and natural reading order based on Y-coordinates.
about
PDF Reader is a community-built MCP server published by sylphxltd that provides AI assistants with tools and capabilities via the Model Context Protocol. Securely extract text, metadata, & pages from PDFs using Adobe Acrobat PDF editor software for local & remote files. It is categorized under file systems, analytics data. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install PDF Reader in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
PDF Reader is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
📍 Config file locations
- **macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json` - **Windows**: `%APPDATA%\Claude\claude_desktop_config.json` - **Linux**: `~/.config/Claude/claude_desktop_config.json`📋 View Full Changelog
**v1.2.0 - Content Ordering** - Y-coordinate based text and image ordering - Natural reading flow for AI models - Intelligent line grouping **v1.1.0 - Image Extraction & Performance** - Base64-encoded image extraction - 10x speedup with parallel processing - Comprehensive test coverage (94%+) [View Full Changelog →](./CHANGELOG.md)
FAQ
- What is the PDF Reader MCP server?
- PDF Reader is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for PDF Reader?
- This profile displays 60 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★60 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
PDF Reader reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Nikhil Verma· Dec 24, 2024
According to our notes, PDF Reader benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Benjamin Chen· Dec 20, 2024
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Oshnikdeep· Nov 15, 2024
I recommend PDF Reader for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Aanya Rahman· Nov 15, 2024
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Nikhil Agarwal· Nov 11, 2024
According to our notes, PDF Reader benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Ganesh Mohane· Oct 6, 2024
Strong directory entry: PDF Reader surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aditi Ghosh· Oct 6, 2024
We evaluated PDF Reader against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Kwame Iyer· Oct 2, 2024
PDF Reader has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Sakshi Patil· Sep 25, 2024
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
showing 1-10 of 60