MCP server
by sylphxltd
Securely extract text, metadata, & pages from PDFs using Adobe Acrobat PDF editor software for local & remote files.
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.
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.
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.
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.
Read, analyze, and understand files in your project
Example
Summarize README, analyze code structure, find TODO comments across codebase
Navigate large codebases 5x faster, understand projects quickly
Create, move, rename, and organize files based on natural language instructions
Example
Organize downloads by file type, rename files following convention, batch process images
Save hours on manual file organization
Search files for patterns, extract data, find information across directories
Example
Find all config files with API keys, extract emails from documents, search logs for errors
Find information instantly instead of manual grep/find
Share your MCP server with the developer community
PDF Reader reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, PDF Reader benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend PDF Reader for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, PDF Reader benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: PDF Reader surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated PDF Reader against two servers with overlapping tools; this profile had the clearer scope statement.
PDF Reader has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
PDF Reader is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
showing 1-10 of 60
Generate boilerplate files, apply templates, create project structures
Example
Create React component with tests and styles, generate OpenAPI spec, scaffold new project
Eliminate repetitive file creation work
Prerequisites
Time Estimate
10-20 minutes including configuration
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server provides file I/O operations (read, write, search, metadata) as tools Claude can invoke with natural language instructions.
Protocols
Compatibility
✓ Use when
Use for code analysis, file organization, content search, template generation, and automating repetitive file operations. Best for local development workflows.
✗ Avoid when
Avoid for system-critical files, sensitive credentials, production environments, or when file integrity is paramount. Don't use on files you can't afford to lose.
