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MongTap

by smallmindsco

queryModel

Generate realistic MongoDB-style documents from statistical models with control over randomness and reproducibility using seed values and entropy parameters.

Instructions

Generate documents from a statistical model with optional query filters and generation control ($seed for reproducibility, $entropy for randomness)

Input Schema

NameRequiredDescriptionDefault
countNoNumber of documents to generate
modelYesModel name
queryNoMongoDB-style query. Special parameters: $seed (number) for reproducible generation, $entropy (0-1) to control randomness level

Input Schema (JSON Schema)

{ "properties": { "count": { "default": 10, "description": "Number of documents to generate", "type": "integer" }, "model": { "description": "Model name", "type": "string" }, "query": { "description": "MongoDB-style query. Special parameters: $seed (number) for reproducible generation, $entropy (0-1) to control randomness level", "type": "object" } }, "required": [ "model" ], "type": "object" }

MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/smallmindsco/MongTap'

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