# Julia Documentation

> Use this tool when you need to access Julia documentation and source code within your AI workflows, providing quick reference and exploration of packages, modules, types, functions, and methods. It solves problems of context switching and information retrieval for developers and data scientists working with Julia. The tool takes in queries for specific Julia components and returns relevant documentation and source code, making it ideal for use cases like code exploration, function reference, and interactive learning.

Canonical page: https://skillsregistry.net/skills/modelcontextprotocol-juliadoc  
JSON: https://api.skillsregistry.net/v1/skills/modelcontextprotocol-juliadoc

## Description

This Julia Documentation MCP server, developed by the ModelContextProtocol team, provides access to Julia's documentation and source code through Claude Desktop. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for retrieving documentation and source code for Julia packages, modules, types, functions, and methods. The implementation features built-in caching with a 5-minute TTL and proper error handling for Julia-specific issues. It's particularly useful for developers and data scientists working with Julia who need quick access to documentation and source code within their AI workflows, enabling use cases like code exploration, function reference, and interactive learning without switching contexts.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/modelcontextprotocol-juliadoc)
- **Repository:** <https://github.com/jonathanfischer97/juliadoc-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "modelcontextprotocol-juliadoc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/modelcontextprotocol-juliadoc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/modelcontextprotocol-juliadoc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt