The PDF MCP Service is a Python-based PDF processing service that provides a quick start and configuration guide.
2 points
6.0K

What is the PDF MCP Service?

The PDF MCP Service is a background service specifically designed for processing PDF files. It provides PDF-related functions through the standardized MCP protocol. It can run as an independent service or be integrated into existing systems.

How to use the PDF MCP Service?

You can start the service through simple command-line operations, and then specify the service path in the client configuration to use it. The service supports cross-platform operation, including Windows, Linux, and macOS systems.

Applicable Scenarios

Suitable for scenarios that require batch processing of PDF files, such as document management systems and automated office workflows. It is particularly suitable for development projects that need to integrate PDF processing functions into existing applications.

Main Features

Cross-Platform Support
Supports three major operating systems: Windows, Linux, and macOS
Easy Installation
Quickly create a virtual environment and install dependencies through the uv tool
MCP Protocol Integration
Supports the standard MCP protocol and is easy to integrate with other systems
Advantages
Simple and easy-to-use command-line interface
Fast deployment and configuration
Support for the standardized MCP protocol
Cross-platform compatibility
Limitations
Requires a Python 3.10+ runtime environment
Currently only supports basic PDF processing functions
Performance may be limited by single-machine resources

How to Use

Clone the Code Repository
Get the latest code from GitHub
Set Up a Virtual Environment
Create and activate a Python virtual environment
Install Dependencies
Use the uv tool to install the required Python packages
Start the Service
Run the main program to start the MCP service

Usage Examples

Integrate into a Document Management System
Use the PDF MCP Service as the background processing service of the document management system to process PDF files uploaded by users
Automated PDF Processing Workflow
Set up a scheduled task to call the PDF MCP Service to batch process PDF files in a specified directory

Frequently Asked Questions

Why is Python 3.10+ required?
What is the uv tool?
How to confirm that the service has been successfully started?

Related Resources

GitHub Repository
Project source code and latest updates
Python Official Website
Download the Python runtime environment
MCP Protocol Documentation
Official documentation for the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
    "mcpServers": {
        "pdfmcp": {
            "command": "uv",
            "args": [
                "--directory",
                "C:\\path\\to\\pdf-mcp",
                "run",
                "main.py"
            ]
        }
    }
}

{
    "mcpServers": {
        "pdfmcp": {
            "command": "uv",
            "args": [
                "--directory",
                "/path/to/pdf-mcp",
                "run",
                "main.py"
            ]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.6K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
9.4K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
46.5K
4.3 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.0K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
25.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
45.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.6K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
31.1K
4.8 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase