AI Data Model Enricher

MCPOfficialOpen SourceApache-2.069.9

by featureform • Modeling & Simulation

An MCP server that turns your data model into a semantic layer for AI agents

Example Use Cases

1
Explore and understand complex data schemas
2
Navigate and query data with defined relationships
3
Type-safe validation and interaction with data models

Description

EnrichMCP is a Python framework designed to help AI agents understand and navigate your data by transforming traditional data models into a semantic layer. Built on MCP (Model Context Protocol), it provides automatic schema discovery, relationship navigation, and type-safe models with validation. It offers seamless integration with SQLAlchemy models, REST APIs, and custom logic, making it versatile for various data environments.

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Security

Scanned 3 month(s) ago

Risk Level

MINIMAL

Read-only data retrieval, no side effects

Trust Score

D44/100

4/17 checks passed

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Quick Stats

Service TypeMCP

Pricing ModelFree

Capabilities0 Tools / 0 Prompts / 0 Resources

Ownerfeatureform

CategoryModeling & Simulation

DependenciesStandalone