LaTeX PDF MCP Server
Converts LaTeX source code into professionally formatted PDF documents.
LaTeX PDF MCP Server
A Model Context Protocol (MCP) server that provides tools for converting LaTeX source code into PDF documents. This server enables AI assistants to generate high-quality PDF documents from LaTeX markup with professional formatting capabilities.
Features
- LaTeX to PDF Conversion: Convert LaTeX source code directly to PDF format
- Professional Document Generation: Supports all standard LaTeX features for academic and professional documents
- Local File Generation: Creates PDF files in a specified directory for easy access
- HTTP Server Integration: Generates downloadable links for created PDFs
- Error Handling: Comprehensive error reporting for LaTeX compilation issues
Prerequisites
Before using this MCP server, ensure you have:
- Node.js (version 18 or higher)
- LaTeX Distribution: A complete LaTeX installation such as:
- latexmk: Usually included with LaTeX distributions
Installation
From npm (Recommended)
npm install -g latexpdf-mcp
From Source
- Clone the repository:
git clone https://github.com/ihor-sokoliuk/latexpdf-mcp.git
cd latexpdf-mcp
- Install dependencies:
pnpm install
- Build the project:
pnpm run build
Configuration
Claude Desktop Configuration
Add the server to your Claude Desktop configuration file:
Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"latexpdf-mcp": {
"command": "latexpdf-mcp",
"env": {
"LATEXPDF_OUTPUT_DIR": "/path/to/your/pdf/directory"
}
}
}
}
Output Directory
By default, PDFs are generated in: C:\Users\Admin\Documents\GeneratedPDF
You can customize the output directory by setting the LATEXPDF_OUTPUT_DIR environment variable in your MCP configuration.
Example configurations:
Windows:
{
"mcpServers": {
"latexpdf-mcp": {
"command": "latexpdf-mcp",
"env": {
"LATEXPDF_OUTPUT_DIR": "C:\\Users\\YourName\\Documents\\MyPDFs"
}
}
}
}
macOS/Linux:
{
"mcpServers": {
"latexpdf-mcp": {
"command": "latexpdf-mcp",
"env": {
"LATEXPDF_OUTPUT_DIR": "/home/yourname/Documents/PDFs"
}
}
}
}
Usage
Once configured, you can use the server through your MCP-compatible client:
Available Tools
create_pdf
Converts LaTeX source code into a PDF document.
Parameters:
file_name(string, required): Name of the output PDF file (must end with .pdf)latex_source(string, required): LaTeX source code to convert
Example:
\documentclass{article}
\usepackage[utf8]{inputenc}
\title{Sample Document}
\author{Your Name}
\date{\today}
\begin{document}
\maketitle
\section{Introduction}
This is a sample LaTeX document generated via MCP.
\subsection{Features}
\begin{itemize}
\item Professional formatting
\item Mathematical expressions: $E = mc^2$
\item Cross-references and citations
\end{itemize}
\end{document}
PDF Access
After generating a PDF, you can access it via HTTP server:
- Navigate to the output directory (default:
C:\Users\Admin\Documents\GeneratedPDF, or your customLATEXPDF_OUTPUT_DIR):
cd [YOUR_OUTPUT_DIRECTORY]
- Start a local HTTP server:
python -m http.server
- Access your PDFs at
http://localhost:8000/[filename].pdf
The server automatically provides download links in this format when PDFs are generated.
Development
Project Structure
latexpdf-mcp/
├── index.ts # Main server implementation
├── package.json # Package configuration
├── tsconfig.json # TypeScript configuration
├── pnpm-lock.yaml # Dependency lock file
└── dist/ # Compiled JavaScript output
Building
pnpm run build
Development Mode
pnpm run watch
Troubleshooting
Common Issues
- LaTeX not found: Ensure LaTeX is properly installed and
latexmkis in your PATH - Permission errors: Check write permissions for the output directory
- Compilation errors: Review LaTeX syntax and required packages
Error Messages
The server provides detailed error messages for:
- Missing LaTeX installation
- Compilation failures
- File system permissions
- Invalid input parameters
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
This project is licensed under the MIT License. See the LICENSE file for details.
Links
- Repository: https://github.com/ihor-sokoliuk/latexpdf-mcp
- Issues: https://github.com/ihor-sokoliuk/latexpdf-mcp/issues
- Model Context Protocol: https://modelcontextprotocol.io
Author
Ihor Sokoliuk - GitHub Profile
This MCP server enables seamless LaTeX to PDF conversion within AI-assisted workflows, perfect for generating academic papers, technical documentation, and professional reports.
Verwandte Server
Alpha Vantage MCP Server
SponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Zen MCP
An AI-powered server providing access to multiple models for code analysis, problem-solving, and collaborative development with guided workflows.
Code Understanding
Analyzes local and remote GitHub repositories to provide code understanding and context generation, including structure analysis, file identification, and semantic mapping.
Leeroopedia
The Brain that turns Generalist Agents into ML Experts.
Adobe After Effects
Control Adobe After Effects through a standardized protocol, enabling AI assistants and other applications.
AppDeploy
AppDeploy lets you deploy a real, full-stack web app directly from an AI chat and turn your AI conversations into live apps, without leaving the chat or touching infrastructure.
Hippycampus
Turns any Swagger/OpenAPI REST endpoint with a yaml/json definition into an MCP Server with Langchain/Langflow integration automatically.
Unified MCP Client Library
An open-source library to connect any LLM to any MCP server, enabling the creation of custom agents with tool access.
Flux Schnell MCP Server
Generate images using the Flux Schnell model via the Replicate API.
Ruby MCP Client
A Ruby client for the Model Context Protocol (MCP), enabling integration with external tools and services via a standardized protocol.
TTS MCP
Text-to-Speech protocol server that synthesizes text from LLMs and plays audio natively through the host system's desk speakers.