An MCP server for sandboxed Python code execution with IPython and Docker, and file transfer.
Ipybox MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. An MCP server for sandboxed Python code execution with IPython and Docker, and file transfer.
ipybox is a unified execution environment for Python code, shell commands, and programmatic MCP tool calls.
ipybox executes code blocks in a stateful IPython kernel. A code block can contain any combination of Python code, shell commands, and programmatic MCP tool calls. Kernels can be sandboxed with sandbox-runtime, enforcing filesystem and network restrictions at OS level.
Once Ipybox is connected, these are the calls the assistant has available:
Component — Descriptionipybox on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the cloud and infrastructure options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Ipybox's toolset — Component — is a fair guide to whether it matches your workflow. It is maintained by gradion-ai; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Component | Description |
{
"mcpServers": {
"ipybox": {
"command": "uvx",
"args": ["ipybox"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.