Skip to main content
Glama
MikeyBeez

mcp-random

by MikeyBeez
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to mcp-random

No user-submitted related servers found.

    Related Servers

    • Random-Generator

      xiaobenyang-com
      A
      license
      A
      quality
      D
      maintenance
      An encrypted and secure random number generation server that complies with the MCP protocol, suitable for AI applications, LLMS, and other systems that require high-quality random numbers.
      7
      2
      Apache 2.0

    • Random Number MCP

      zazencodes
      A
      license
      A
      quality
      A
      maintenance
      Production-ready MCP server that provides LLMs with essential random generation abilities, including random integers, floats, choices, shuffling, and cryptographically secure tokens.
      7
      178 PyPI
      51
      MIT

    • toy-mcp-server

      kritikatripathi03
      F
      license
      A
      quality
      C
      maintenance
      Enables MCP clients like Claude Desktop to run dice rolling and coin flipping tools with true randomness, and to fetch basic server metadata as a read-only resource.
      2
      -

    • random-number-server

      nobelk
      A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that generates random numbers by using national weather data as entropy seeds. It provides a unique way to generate random values through weather API integration within the Model Context Protocol.
      Apache 2.0
    • provably-fair-mcp by promptcoinapp

      provably-fair-mcpofficial

      promptcoinapp
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for provably-fair random selection using public drand randomness, enabling verifiable winner picks for giveaways, raffles, and tie-breaks.
      MIT
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 13 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose, covering different random distributions, selection methods, and output types. While random_choice, random_sample, and random_weighted_choice all involve selecting from arrays, their behaviors are well-differentiated by descriptions and parameters.

    Naming Consistency4/5

    Most tools follow the random_ prefix pattern, but flip_coin, roll_dice, and help deviate. The deviations are intuitive and still readable, but the naming is not fully uniform.

    Tool Count5/5

    13 tools is well-scoped for a random utility server, covering common categories like number generation, selection, shuffling, bytes, UUIDs, and passwords without unnecessary overlap or bloat.

    Completeness5/5

    The tool set is comprehensive for its domain, including uniform and normal distributions, weighted and non-weighted selections, sampling, shuffling, byte generation, passwords, and simple helpers like coin flip and dice roll. No major gaps are evident.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources