# julia-mcp

> julia-mcp — aplavin-julia-mcp. Use this tool when you need to accelerate development with Julia by reducing startup and compilation overhead, enabling fast iteration and persistent sessions. It solves problems of slow development cycles and improves productivity for Julia developers. Ideal for use cases involving frequent code changes, testing, and debugging, with input/output interfaces supporting git integration.

Canonical page: https://skillsregistry.net/skills/aplavin-julia-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aplavin-julia-mcp

## Description

MCP server for persistent Julia sessions — fast iteration without startup/compilation overhead

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/aplavin/julia-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": "aplavin-julia-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aplavin-julia-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aplavin-julia-mcp/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
