aplavin/julia-mcp
MCP server for persistent Julia sessions — fast iteration without startup/compilation overhead
This project helps AI assistants execute Julia code more efficiently. It takes Julia code snippets as input and quickly returns the execution results, avoiding slow startup and compilation times by keeping Julia sessions alive. Anyone using an AI assistant like Claude, Codex, or Copilot for tasks requiring Julia can benefit from this speed.
Use this if your AI assistant frequently executes Julia code and you want to eliminate the overhead of Julia's startup and compilation for faster iterations and persistent variable states.
Not ideal if you manually manage Julia sessions or your workflow doesn't involve AI assistants executing Julia code.
Stars
32
Forks
3
Language
Python
License
MIT
Category
Last pushed
Feb 13, 2026
Commits (30d)
0
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