manifest.jsonā¢2.04 kB
{
"dxt_version": "0.1",
"name": "@mongtap/mongtap",
"version": "1.0.0",
"description": "MongoDB-compatible MCP server with DataFlood statistical modeling and generation control ($seed, $entropy)",
"long_description": "MongTap is a Model Context Protocol (MCP) server that provides MongoDB-compatible database functionality through statistical modeling. It allows LLMs like Claude to create, query, and manage databases using natural language, without requiring actual data storage.",
"author": {
"name": "SmallMinds LLC - smallminds.co",
"email": "andrew@smallminds.co",
"url": "https://smallminds.co"
},
"homepage": "https://smallminds.co",
"icon": "Assets/MongTap.png",
"server": {
"type": "node",
"entry_point": "src/mcp/index.js",
"mcp_config": {
"command": "node",
"args": [
"${__dirname}/src/mcp/index.js"
],
"env": {}
}
},
"tools": [
{
"name": "generateDataModel",
"description": "Generate a DataFlood model from sample data or description'"
},
{
"name": "startMongoServer",
"description": "Start a MongoDB-compatible server with DataFlood backing"
},
{
"name": "stopMongoServer",
"description": "Stop a running MongoDB server"
},
{
"name": "listActiveServers",
"description": "List all active MongoDB servers"
},
{
"name": "queryModel",
"description": "Query a DataFlood model directly. Supports generation control via $seed and $entropy parameters in the query."
},
{
"name": "trainModel",
"description": "Train or update a model with new data"
},
{
"name": "listModels",
"description": "List all available DataFlood models"
},
{
"name": "getModelInfo",
"description": "Get detailed information about a model"
}
],
"keywords": [
"generative database",
"synthetic test data",
"synthetic data",
"mongodb",
"smallminds",
"dataflood"
],
"license": "MIT"
}