mcpbeat

STUzhy Py Execute MCP Server

answering

STUzhy Py Execute MCP is answering right now. Last checked 7 min ago.

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

Uptime history 61 hours of history
61 hours agonow
100.0%
Uptime 24h
92 of 92 checks
Tools
hidden behind auth
393 ms
Response time
average over 24h
API key or OAuth
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 7 min ago.

run in your terminal
claude mcp add STUzhy-py_execute_mcp --transport http https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "STUzhy-py_execute_mcp": {
      "url": "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
{
  "mcpServers": {
    "STUzhy-py_execute_mcp": {
      "url": "https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp"
    }
  }
}

This endpoint answered with an authorization challenge — the server is running, but you need an API key or OAuth to use it.

Endpoints

URLTransportStateLatencyChecked
https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp streamable-http needs key 699 ms 7 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 92 of 92 checks got a reply (100.0%), average response time 393 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 with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key or an OAuth login: it refuses anonymous clients.
Does STUzhy Py Execute MCP need an API key?
Yes. Every time we knock, STUzhy Py Execute MCP answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is STUzhy Py Execute MCP?
It answers our handshake in 393 ms on average, which is faster than 37% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.