Random Number MCP
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- MIT
TDQS
Scored across 7 tools
Most tools have clearly distinct purposes: integer, float, secure integer, token, sample, shuffle, and choices. There is mild overlap between random_int and secure_random_int, but the inclusive/exclusive bounds and cryptographic distinction in descriptions help disambiguate them.
Naming follows a mostly consistent snake_case pattern with random_* for general operations and secure_* for cryptographic variants. The only minor inconsistency is secure_random_int breaking the random_* prefix pattern, but the naming remains predictable and readable.
Seven tools is well-scoped for a random number utility server. Each tool addresses a distinct common random-generation need without unnecessary redundancy or bloat.
The server covers the core random number domain well: integers, floats, secure randomness, sampling, shuffling, and weighted choices. Minor gaps such as random boolean generation or non-uniform distributions exist but are not essential for the stated purpose.