Random Number
Production-ready MCP server that provides LLMs with essential random generation abilities, built entirely on Python's standard library.
{ "mcpServers": { "zazencodes-random-number-mcp": { "command": "uvx", "args": [ "random-number-mcp==0.1.2" ] } }}.cursor/mcp.jsonMCP server
- Transport
- stdio
- Status
- Local
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The publisher's own command. Not a PlugMCP endpoint.
Host a copy with our keys and logs.
Local command
uvx random-number-mcp==0.1.2Claude Code has no install link for a local command. Copy the command below and run it in a terminal.
shClaude Code
claude mcp add zazencodes-random-number-mcp -- uvx random-number-mcp==0.1.2Run in a terminal.
jsonClaude Desktop
{ "mcpServers": { "zazencodes-random-number-mcp": { "command": "uvx", "args": [ "random-number-mcp==0.1.2" ] } }}claude_desktop_config.json
Local · pypiPublisher installStep-by-step: add this in Claude
Remote URL or a command on your machine? How the two installs differ
PlugMCP에서 실행
Host a copy with our keys and logs.
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
실행Server facts
Local- Transport
- stdio
- License
- MIT
- Last checked
- 2026-10-26
- Stars
- 51
- Tools
- —
- Uptime
- —
Tools
Tools
No tool list yet. Remote servers get one after the first health check.
FAQ
Questions
How do I install Random Number?
Copy the stdio config for Cursor, Claude Desktop, Claude Code, or VS Code on this page. It uses the publisher's install, not a PlugMCP proxy.
Does Random Number need an API key?
No required environment variable is listed on this record.
What transport does Random Number use?
Random Number runs locally over stdio.
When was Random Number last checked?
Last checked 2026-10-26. Production-ready MCP server that provides LLMs with essential random generation abilities, built entirely on Python's standard library.
From the publisher
Documentation
README is not crawled yet. Open the repository
Production-ready MCP server that provides LLMs with essential random generation abilities, built entirely on Python's standard library.