Python MCP Sandbox is an interactive Python code execution tool that allows users and LLMs to safely execute Python code and install packages in
Python MCP Sandbox MCP server exists for a simple reason — assistants are far more useful when they can act on Python MCP Sandbox directly instead of describing what you should do. Python MCP Sandbox is an interactive Python code execution tool that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
You will need one environment variable: YOUR_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
This sits in the cloud and infrastructure group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by JohanLi233; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Python MCP Sandbox's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
## MCP Example Config for Online Demo
```json
{
"mcpServers": {
"mcpSandbox": {
"command": "npx",
"args": ["-y", "supergateway", "--sse", "http://115.190.87.78/sse?api_key=<API_KEY>"]
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| YOUR_API_KEY | Credential the server authenticates with. | Yes |
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.