Random Number Generator▌
by zazencodes
Use our random number generator to get a random number, shuffle lists, or generate secure tokens with advanced rng gener
Provides random number generation utilities including pseudorandom and cryptographically secure operations for integers, floats, weighted selections, list shuffling, and secure token generation.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers needing randomization in applications
- / Testing and simulation scenarios
- / Security token generation
- / Game development and lottery systems
capabilities
- / Generate random integers and floats within specified ranges
- / Shuffle lists and sample items with or without replacement
- / Create weighted random selections from populations
- / Generate cryptographically secure hex tokens
- / Produce secure random integers for authentication
what it does
Generates random numbers, shuffles lists, and creates secure tokens using Python's standard library functions. Includes both pseudorandom and cryptographically secure operations.
about
Random Number Generator is a community-built MCP server published by zazencodes that provides AI assistants with tools and capabilities via the Model Context Protocol. Use our random number generator to get a random number, shuffle lists, or generate secure tokens with advanced rng gener It is categorized under auth security, developer tools. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Random Number Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Random Number Generator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Use our random number generator to get a random number, shuffle lists, or generate secure tokens with advanced rng gener
TL;DR: Generates random numbers, shuffles lists, and creates secure tokens using Python's standard library functions. Includes both pseudorandom and cryptographically secure operations.
What it does
- Generate random integers and floats within specified ranges
- Shuffle lists and sample items with or without replacement
- Create weighted random selections from populations
- Generate cryptographically secure hex tokens
- Produce secure random integers for authentication
Best for
- Developers needing randomization in applications
- Testing and simulation scenarios
- Security token generation
- Game development and lottery systems
Highlights
- Both pseudorandom and cryptographically secure options
- No external dependencies or API keys required
FAQ
- What is the Random Number Generator MCP server?
- Random Number Generator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Random Number Generator?
- This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.8 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.8★★★★★35 reviews- ★★★★★Isabella Flores· Dec 24, 2024
According to our notes, Random Number Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Xiao Nasser· Dec 24, 2024
Random Number Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ava Smith· Dec 20, 2024
I recommend Random Number Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Amina Nasser· Dec 8, 2024
Random Number Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Pratham Ware· Dec 4, 2024
Strong directory entry: Random Number Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Ava Johnson· Nov 27, 2024
Strong directory entry: Random Number Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Yash Thakker· Nov 23, 2024
Random Number Generator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Min Gupta· Nov 15, 2024
We wired Random Number Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Ava Martinez· Nov 11, 2024
We evaluated Random Number Generator against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ava Garcia· Oct 18, 2024
I recommend Random Number Generator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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