Random Number Generator
This MCP server provides random number generation utilities through six core tools covering both standard pseudorandom and cryptographically secure operations. Built by Alexander Galea using Python with FastMCP v2.0, it offers random integer and float generation, weighted item selection from lists, list shuffling, secure hex token generation, and secure random integers using Python's built-in random and secrets modules. The implementation features comprehensive input validation, type hints throughout, extensive error handling with descriptive messages, and a complete test suite, making it valuable for simulations, testing scenarios, security token generation, and building AI assistants that need reliable randomization capabilities without external dependencies.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- finance
- Source
- PulseMCP
- Repository
- github.com/zazencodes/random-number-mcp
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Random Number Generator from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.