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STUzhy Py Execute MCP Server

by smithery Your server? Claim it
answering

STUzhy Py Execute MCP is answering right now. Last checked 14 min ago.

Run Python code in a secure sandbox without local setup. Declare inline dependencies and execute s…

Uptime history 91 days of history · worst day 91%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
436 ms
Response time
average over 24h
OAuth sign-in
Access
streamable-http

Nothing serious here today

Today is the operative word: we check STUzhy Py Execute MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

run in your terminal
claude mcp add STUzhy-py_execute_mcp --transport http https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp
Settings → Connectors → Add custom connector, then paste this address
https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp
~/.codex/config.toml
[mcp_servers.STUzhy-py_execute_mcp]
url = "https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "STUzhy-py_execute_mcp": {
      "url": "https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "STUzhy-py_execute_mcp": {
      "type": "http",
      "url": "https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp streamable-http sign-in 638 ms 14 min ago

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STUzhy Py Execute MCP — questions

Answers built from our own checks of this server.

Why is there no tool list for STUzhy Py Execute MCP?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is STUzhy Py Execute MCP working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 436 ms. The bar chart above shows every period we have measured.
How do I connect STUzhy Py Execute MCP?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to STUzhy Py Execute MCP?
No API key is involved. STUzhy Py Execute MCP answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is STUzhy Py Execute MCP?
It answers our handshake in 436 ms on average, which is faster than 29% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.