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MongTap

by smallmindsco

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
NODE_ENVNoNode.js environment settingproduction
LOG_LEVELNoLogging level (error, warn, info, debug, trace)info
MONGTAP_PORTNoDefault port for MCP server3000
MONGTAP_STORAGENoPath for model storage./welldb-models
MONGTAP_MAX_SERVERSNoMaximum concurrent MongoDB servers10

Schema

Prompts

Interactive templates invoked by user choice

NameDescription
create_ecommerce_dbCreate a complete e-commerce database with products, customers, and orders
create_user_profileGenerate a user profile model with common fields
analyze_modelAnalyze an existing model and provide insights
generation_controlLearn how to control document generation with $seed and $entropy parameters

Resources

Contextual data attached and managed by the client

NameDescription
Available ModelsList of all trained DataFlood models
Server StatusStatus of all MongoDB servers
Model SchemaGet the JSON schema for a specific model
Model Sample DataGet sample data from a model
Generation Control DocumentationDocumentation for $seed and $entropy query parameters

Tools

Functions exposed to the LLM to take actions

NameDescription
generateDataModel

Create a statistical model from sample documents or a text description for data generation

startMongoServer

Start a local MongoDB-compatible server that generates data from statistical models

stopMongoServer

Stop a running MongoDB-compatible server instance by port number

listActiveServers

Get a list of all currently running MongoDB-compatible server instances

queryModel

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

trainModel

Update an existing statistical model with additional sample documents to improve generation quality

listModels

Get a list of all available statistical models stored locally

getModelInfo

Retrieve detailed schema and statistics for a specific statistical model

MCP directory API

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

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