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Random-Generator

Random-Generator

随机数生成服务器 Random Generator

一款符合MCP协议的加密安全随机数生成服务器,适用于AI应用、LLM及其他需要高质量随机数的系统。 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.## 工具列表 Tool List

本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具,可让模型通过标准化接口调用以下功能。

工具 Tool

描述 Description

generate_random_integer

Generate cryptographically secure random integers within a specified range

generate_random_float

Generate cryptographically secure random floating-point numbers

generate_random_bytes

Generate cryptographically secure random bytes

generate_uuid

Generate a cryptographically secure UUID (v4)

generate_random_string

Generate a cryptographically secure random string

generate_random_choice

Randomly select items from a given list using cryptographically secure randomness

generate_random_boolean

Generate cryptographically secure random boolean values

检查服务 ## Inspector

工具在线测试: https://mcp.xiaobenyang.com/inspector/1777316659559427

Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659559427

Related MCP server: Random Value MCP Server

服务配置 MCP Server Config

如何获取 XBY-APIKEY ? How to get XBY-APIKEY ?

访问小笨羊科技网站 https://xiaobenyang.com,注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.

SSE

{
  "mcpServers": {
    "随机数生成服务器": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "sse",
      "url": "https://mcp.xiaobenyang.com/1777316659559427/sse"
    }
  }
}

STREAMABLE HTTP

{
  "mcpServers": {
    "随机数生成服务器": {
      "headers": {
        "XBY-APIKEY": "<YOUR_XBY_APIKEY>"
      },
      "type": "streamable_http",
      "url": "https://mcp.xiaobenyang.com/1777316659559427/mcp"
    }
  }
}

STDIO

{
    "mcpServers": {
        "随机数生成服务器": {
          "command": "npx",
          "args": [
            "-y",
            "xiaobenyang-mcp"
          ],
          "env": {
            "XBY_APIKEY": "<YOUR_XBY_APIKEY>",
            "mcpId": "1777316659559427",
          },
          "transport": "stdio"
        }
      }
}

Available Tools

7 tools
generate_random_booleangenerate_random_booleanC

Generate cryptographically secure random boolean values

Inputs: count, probability.

generate_random_bytesgenerate_random_bytesC

Generate cryptographically secure random bytes

Inputs: length, encoding.

generate_random_choicegenerate_random_choiceA

Randomly select items from a given list using cryptographically secure randomness

Inputs: choices (required), count, allow_duplicates.

generate_random_floatgenerate_random_floatB

Generate cryptographically secure random floating-point numbers

Inputs: min, max, count, precision.

generate_random_integergenerate_random_integerC

Generate cryptographically secure random integers within a specified range

Inputs: min, max, count.

generate_random_stringgenerate_random_stringC

Generate a cryptographically secure random string

Inputs: length, charset, count.

generate_uuidgenerate_uuidC

Generate a cryptographically secure UUID (v4)

Inputs: count, format.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 7 tools

    Disambiguation5/5

    Every tool has a clearly distinct purpose targeting specific random generation tasks (boolean, bytes, choice, float, integer, string, UUID). There is no overlap or ambiguity between tools, as each handles a different data type or selection method with cryptographically secure randomness.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with 'generate_random_' prefix (or 'generate_uuid'), using snake_case throughout. The naming is highly predictable and readable, making it easy to understand each tool's function at a glance.

    Tool Count5/5

    With 7 tools, this is well-scoped for a random generation server, covering common use cases without bloat. Each tool earns its place by addressing a specific random generation need, making the set comprehensive yet manageable.

    Completeness5/5

    The tool surface provides complete coverage for random generation in a typical programming context, including booleans, bytes, choices, floats, integers, strings, and UUIDs. There are no obvious gaps, and agents can handle most random generation tasks without dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

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