Typst MCP Server

by johannesbrandenburger

165 stars
476 downloads
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About

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code.

Details

Author
johannesbrandenburger
GitHub stars
165
Downloads
476
Categories
Other, AI

- Converts LaTeX snippets to Typst using Pandoc
- Validates whether Typst code is syntactically correct
- Renders Typst code to PNG images for preview
- Lists all chapters in the Typst documentation
- Retrieves specific chapters from the Typst documentation
- Supports batch conversion and validation of multiple snippets

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Typst MCP Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Clone both this repository and the Typst repository, generate the documentation JSON file, install dependencies with uv sync, then run python server.py or use Docker. Configure the server in your AI platform’s MCP settings (e.g., Claude Desktop, Cursor, VS Code Agent Mode) by specifying the command and arguments.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "typst mcp server": {
            "typst-mcp": {
                "command": "python",
                "args": [
                    "server.py"
                ]
            }
        }
    }
}

McpServers

{
    "typst-mcp": {
        "command": "python",
        "args": [
            "server.py"
        ]
    }
}

Typst MCP Server

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code.

Available Tools

>⚠️ Currently all the functionality is implemented as tools, because Cursor and VS Code are not able to handle the other primitives yet.

The server provides the following tools:

1. list_docs_chapters(): Lists all chapters in the Typst documentation.
- Lets the LLM get an overview of the documentation and select a chapter to read.
- The LLM should select the relevant chapter to read based on the task at hand.

2. get_docs_chapter(route): Retrieves a specific chapter from the Typst documentation.
- Based on the chapter selected by the LLM, this tool retrieves the content of the chapter.
- Also available as get_docs_chapters(routes: list) for retrieving multiple chapters at once.

3. latex_snippet_to_typst(latex_snippet): Converts LaTeX code to Typst using Pandoc.
- LLMs are better at writing LaTeX than Typst, so this tool helps convert LaTeX code to Typst.
- Also available as latex_snippets_to_typst(latex_snippets: list) for converting multiple LaTeX snippets at once.

4. check_if_snippet_is_valid_typst_syntax(typst_snippet): Validates Typst code.
- Before sending Typst code to the user, the LLM should check if the code is valid.
- Also available as check_if_snippets_are_valid_typst_syntax(typst_snippets: list) for validating multiple Typst snippets at once.

5. typst_to_image(typst_snippet): Renders Typst code to a PNG image.
- Before sending complex Typst illustrations to the user, the LLM should render the code to an image and check if it looks correct.
- Only relevant for multi modal models.

Getting Started

- Clone this repository
- git clone https://github.com/johannesbrandenburger/typst-mcp.git
- Clone the typst repository
- git clone https://github.com/typst/typst.git
- Run the docs generation in the typst repository
- cargo run --package typst-docs -- --assets-dir ../typst-mcp/typst-docs --out-file ../typst-mcp/typst-docs/main.json
- Make sure to adjust the path to your local clone of the typst-mcp repository
- This will generate the main.json and the assets in the typst-docs folder
- Install required dependencies: uv sync (install uv if not already installed)

- Install Typst

Running the Server

Local Installation

Execute the server script:

python server.py

Or install it in Claude Desktop with MCP:

mcp install server.py

Or use the new agent mode in VS Code:

Agent mode: available to all users and supports MCP

Docker

For Docker installation and usage, see DOCKER.md for detailed build information and instructions.

Platform Configuration

This MCP server can be integrated with various AI coding platforms. Below are configuration instructions for popular platforms:

Claude Desktop

Add the following to your Claude Desktop configuration file (claude_desktop_config.json):

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

Or for local installation:

{
  "mcpServers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

Cursor

Create .cursor/mcp.json in your project root for project-specific configuration:

{
  "mcpServers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

Or create ~/.cursor/mcp.json for global configuration. For local installation:

{
  "mcpServers": {
    "typst": {
      "command": "python",
      "args": ["/path/to/typst-mcp/server.py"]
    }
  }
}

Roo Code

Create .roo/mcp.json in your project root for project-specific configuration:

{
  "mcpServers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

Or edit global settings via Roo Code MCP settings view. For local installation:

{
  "mcpServers": {
    "typst": {
      "command": "python",
      "args": ["/path/to/typst-mcp/server.py"]
    }
  }
}

OpenCode

Create or edit the opencode.json file in your project root:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "typst": {
      "type": "local",
      "command": ["docker", "run", "--rm", "-i", 
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ],
      "enabled": true
    }
  }
}

For local installation:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "typst": {
      "type": "local",
      "command": ["python", "/path/to/typst-mcp/server.py"],
      "enabled": true
    }
  }
}

Claude Code

Configure MCP servers in your Claude Code settings file (~/.claude/settings.json):

{
  "mcpServers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

Or for local installation:

{
  "mcpServers": {
    "typst": {
      "command": "python",
      "args": ["/path/to/typst-mcp/server.py"]
    }
  }
}

VS Code with Agent Mode

VS Code's Agent Mode has native MCP support (no extension required):

1. Enable Agent Mode in VS Code settings (chat.agent.enabled)
2. Create .vscode/mcp.json in your workspace:

{
  "servers": {
    "typst": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/johannesbrandenburger/typst-mcp:latest"
      ]
    }
  }
}

For global configuration, add to your user profile via MCP: Open User Configuration command.

JSON Schema of the Typst Documentation

>⚠️ The schema of the typst documentation is not stable and may change at any time. The schema is generated from the typst source code and is not guaranteed to be complete or correct. If the schema changes, this repository will need to be updated accordingly, so that the docs functionality works again.

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