J

juliadoc-mcp

Created Oct 19, 2025 by jonathanfischer97

Language:

JavaScript

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2

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1

README

Julia Documentation MCP Server

An MCP server that efficiently serves context to Claude Desktop about Julia documentation and source code.

Features

  • Get documentation for Julia packages, modules, types, functions, and methods
  • View source code for Julia functions, types, and methods
  • Built-in caching with 5-minute TTL
  • Proper error handling for Julia-specific errors

Tools

get-doc

Gets Julia documentation for a package, module, type, function, or method.

  • Parameter: path (string) - Path to Julia object (e.g., 'Base.sort', 'AbstractArray')

get-source

Gets Julia source code for a function, type, or method.

  • Parameter: path (string) - Path to Julia object (e.g., 'Base.sort', 'AbstractArray')

Requirements

  • Node.js 16 or higher
  • Julia 1.9 or higher installed and accessible in PATH
  • Claude Desktop

Configuration

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "juliadoc": {
      "command": "npx",
      "args": [
        "-y",
        "@jonathanfischer97/server-juliadoc"
      ],
      "env": {
        "JULIA_PROJECT": "/path/to/your/julia/project"
      }
    }
  }
}

The server will use:

  • Your specified Julia project if JULIA_PROJECT is set in the config
  • The default global Julia environment if no project is specified
  • Your system's default Julia installation (must be accessible in PATH)

Development

# Clone the repository
git clone https://github.com/jonathanfischer97/juliadoc-mcp.git
cd juliadoc-mcp

# Install dependencies
npm install

# Build
npm run build

# Start server locally
npm start

Contributing

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

Credit goes to mrjoshuak/godoc-mcp for inspiring this project

License

MIT License - see LICENSE file for details

Last updated: Oct 19, 2025

Publisher info

jonathanfischer97's avatar

jonathanfischer97

PhD student. Computational biophysics, simulation, biochemical oscillators, Julia

Margaret Johnson Lab, Johns Hopkins University
Baltimore, MD
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