Random-Generator
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Random-Generator generate a random integer between 1 and 100"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 toolsgenerate_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
Scored across 7 tools
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.
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.
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.
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
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