PDF Reader MCP Server

PDF Reader MCP Server

Provides tools for reading and extracting text from PDF files, supporting both local files and URLs.

trafflux

File Systems
Browser Automation
Python
Visit Server

README

PDF Reader MCP Server

A Model Context Protocol (MCP) server that provides tools for reading and extracting text from PDF files, supporting both local files and URLs.

Author

Philip Van de Walker
Email: philip.vandewalker@gmail.com
GitHub: https://github.com/trafflux

Features

  • Read text content from local PDF files
  • Read text content from PDF URLs
  • Error handling for corrupt or invalid PDFs
  • Volume mounting for accessing local PDFs
  • Auto-detection of PDF encoding
  • Standardized JSON output format

Installation

  1. Clone the repository:
git clone https://github.com/trafflux/pdf-reader-mcp.git
cd pdf-reader-mcp
  1. Build the Docker image:
docker build -t mcp/pdf-reader .

Usage

Running the Server

To run the server with access to local PDF files:

docker run -i --rm -v /path/to/pdfs:/pdfs mcp/pdf-reader

Replace /path/to/pdfs with the actual path to your PDF files directory.

If not using local PDF files:

docker run -i --rm mcp/pdf-reader

MCP Configuration

Add to your MCP settings configuration:

{
  "mcpServers": {
    "pdf-reader": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/path/to/pdfs:/pdfs",
        "mcp/pdf-reader"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Without local file PDF files:

{
  "mcpServers": {
    "pdf-reader": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "mcp/pdf-reader"],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Available Tools

  1. read_local_pdf

    • Purpose: Read text content from a local PDF file
    • Input:
      {
        "path": "/pdfs/document.pdf"
      }
      
    • Output:
      {
        "success": true,
        "data": {
          "text": "Extracted content..."
        }
      }
      
  2. read_pdf_url

    • Purpose: Read text content from a PDF URL
    • Input:
      {
        "url": "https://example.com/document.pdf"
      }
      
    • Output:
      {
        "success": true,
        "data": {
          "text": "Extracted content..."
        }
      }
      

Error Handling

The server handles various error cases with clear error messages:

  • Invalid or corrupt PDF files
  • Missing files
  • Failed URL requests
  • Permission issues
  • Network connectivity problems

Error responses follow the format:

{
  "success": false,
  "error": "Detailed error message"
}

Dependencies

  • Python 3.11+
  • PyPDF2: PDF parsing and text extraction
  • requests: HTTP client for fetching PDFs from URLs
  • MCP SDK: Model Context Protocol implementation

Project Structure

.
├── Dockerfile          # Container configuration
├── README.md          # This documentation
├── requirements.txt   # Python dependencies
└── src/
    ├── __init__.py    # Package initialization
    └── server.py      # Main server implementation

License

Copyright 2025 Philip Van de Walker

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Contact

For questions, issues, or contributions, please contact Philip Van de Walker:

  • Email: philip.vandewalker@gmail.com
  • GitHub: https://github.com/trafflux

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Excel MCP Server

Excel MCP Server

A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.

Featured
Local
Go
Playwright MCP Server

Playwright MCP Server

Provides a server utilizing Model Context Protocol to enable human-like browser automation with Playwright, allowing control over browser actions such as navigation, element interaction, and scrolling.

Featured
Local
TypeScript
@kazuph/mcp-fetch

@kazuph/mcp-fetch

Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.

Featured
Local
JavaScript
Claude Code MCP

Claude Code MCP

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

Featured
Local
JavaScript
DuckDuckGo MCP Server

DuckDuckGo MCP Server

A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.

Featured
Python
YouTube Transcript MCP Server

YouTube Transcript MCP Server

This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

Featured
Python
serper-search-scrape-mcp-server

serper-search-scrape-mcp-server

This Serper MCP Server supports search and webpage scraping, and all the most recent parameters introduced by the Serper API, like location.

Featured
TypeScript
The Verge News MCP Server

The Verge News MCP Server

Provides tools to fetch and search news from The Verge's RSS feed, allowing users to get today's news, retrieve random articles from the past week, and search for specific keywords in recent Verge content.

Featured
TypeScript
Tavily MCP Server

Tavily MCP Server

Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.

Featured
Python