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julia-mcp vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

julia-mcp
by aplavin
filesystem
by modelcontextprotocol
Stars★ 63★ 85,748
30d uses
Score4677
Official
Categories
Developer ToolsAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last committhis monththis month

julia-mcp · Summary

MCP server for persistent Julia sessions, avoiding startup costs and preserving state between calls.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

julia-mcp · Use cases

  • AI-assisted Julia development with fast code iteration
  • Scientific computing workflows requiring persistent state
  • Educational environments for teaching Julia programming

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

julia-mcp · Install

Installation

  1. Clone the repository:
git clone https://github.com/aplavin/julia-mcp.git
cd julia-mcp
  1. Register with Claude Desktop (add to claude_desktop_config.json):
{
  "mcpServers": {
    "julia": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/julia-mcp", "python", "server.py"]
    }
  }
}
  1. Prerequisites: Install uv and Julia (julia binary must be in PATH). Recommended packages: Revise.jl and TestEnv.jl.

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.