enrichmcp

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EnrichMCP is a python framework for building data driven MCP servers

Overview

What is enrichmcp

EnrichMCP is a Python framework designed to help AI agents understand and navigate data by adding a semantic layer to data models, similar to an ORM for AI.

How to Use

To use EnrichMCP, install it via pip and integrate it with your existing SQLAlchemy models or other data sources to create an AI-navigable API.

Key Features

Key features include automatic generation of typed tools from data models, handling relationships between entities, schema discovery for data structure understanding, input/output validation with Pydantic models, and compatibility with any backend.

Where to Use

EnrichMCP can be used in various fields such as data science, AI development, and any application requiring data-driven decision-making and interaction.

Use Cases

Use cases include transforming SQLAlchemy models into AI-navigable APIs, enabling AI agents to interact with databases, APIs, or custom logic seamlessly.

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