STUzhy Py Execute MCP Server

by smithery Your server? Claim it

answering

STUzhy Py Execute MCP is answering right now. Last checked 13 min ago.

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

Uptime history 51 days of history · worst day 94%

51 days agonow

96.7%

Uptime 24h

87 of 90 checks

—

Tools

hidden behind auth

568 ms

Response time

average over 24h

OAuth sign-in

Access

streamable-http

STUzhy Py Execute MCP does not always answer

Over the last week it answered 98.9% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

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, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp	streamable-http	sign-in	187 ms	13 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: 96.7% 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 87 of 90 checks got a reply (96.7%), average response time 568 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 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 568 ms on average, which is faster than 25% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.