STUzhy Py Execute Mcp

ai.smitheryPublished by smithery.aiOfficial publisherv1.0.0Updated Oct 24, 2026

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

The publisher's own server: 222wcnm Bilistalkermcp

VerifiedStreamable HTTPWeb executableDeveloper Tools

Overview

AI-generated overview

Remote MCP server that lets an assistant run Python code in a secure sandbox, with inline dependency declarations, without local setup.

What you can do
  • Run Python code in a hosted sandbox without installing a local runtime.
  • Declare inline dependencies so the sandbox installs what the code needs before execution.
  • Execute snippets on demand and return the results to the assistant.
When to use it
Useful when an assistant needs to execute Python for calculations, quick scripts or data checks but no local Python environment is available or wanted.
Requirements
A remote MCP endpoint reached over streamable HTTP; OAuth authentication is required, with a bearer token supplied in the Authorization header. No local packages or environment variables are declared.
Before you install
The server requires an Authorization bearer token for Smithery authentication, so treat it as a secret. Code is executed in a third-party hosted sandbox, so anything sent to it leaves your machine; avoid passing sensitive data or credentials in the code.

Installation

In SourceWeft

  1. Open STUzhy Py Execute Mcp in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.smithery%2FSTUzhy-py_execute_mcp/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "stuzhy-py-execute": {
      "type": "http",
      "url": "https://server.smithery.ai/@STUzhy/py_execute_mcp/mcp"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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