# random-web3-mcp

> Use this tool when you need to generate truly random elements for applications such as games, finance, or testing, leveraging EVM block hash for unpredictability. It provides various random generation tools, solving problems of randomness and fairness in multiple fields. The service takes input requests and outputs randomly generated elements, making it suitable for use cases requiring high entropy and unpredictability.

Canonical page: https://skillsregistry.net/skills/suxiongye-random-web3-mcp  
JSON: https://api.skillsregistry.net/v1/skills/suxiongye-random-web3-mcp

## Description

RandomWeb3MCP is a random element generation service based on EVM block hash. The service provides various random element generation tools that can be used in games, finance, testing, and other fields.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l8j1n7vnd2)
- **Repository:** <https://github.com/suxiongye/random-web3-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "suxiongye-random-web3-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/suxiongye-random-web3-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/suxiongye-random-web3-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt