random-web3-mcp

Generate random numbers according to specified probability distribution type and parameters. Supports various common probability distributions. Args: distribution_type (int): Distribution type: 1 = Uniform distribution (parameters: [min_value, max_value]) 2 = Normal distribution (parameters: [mean, standard_deviation]) 3 = Exponential distribution (parameters: [scale_parameter]) 4 = Binomial distribution (parameters: [trials, success_probability]) distribution_parameters (List[float]): Distribution parameter list salt (str, optional): Random number salt value for increased randomness. Defaults to "". Returns: str: JSON string containing random value and distribution information, formatted as: { "requestId": "Generated request ID", "randomValue": Generated random value, "distributionMetadata": { "distributionType": Distribution type, ...Distribution parameters } } Application Scenarios: 1. Financial market simulation (return distribution, risk analysis) 2. Natural phenomena simulation (particle distribution, noise generation) 3. Load testing (user behavior distribution) 4. Statistical sampling (experimental data generation)

{ "properties": { "distribution_parameters": { "items": { "type": "number" }, "title": "Distribution Parameters", "type": "array" }, "distribution_type": { "title": "Distribution Type", "type": "integer" }, "salt": { "default": "", "title": "Salt", "type": "string" } }, "required": [ "distribution_type", "distribution_parameters" ], "title": "generate_distributionArguments", "type": "object" }