Ellie Technologies, the only EU-based full-stack data modeling platform provider with integrated artificial intelligence capabilities, has launched the general availability of the Ellie MCP Server. This breakthrough integration enables AI systems to directly read, understand, create, modify, and govern real data models within the Ellie platform, eliminating manual translation and context switching that have long hindered AI-assisted data work.
Quick Intel
For years, AI tools have generated ideas, JSON, or documentation that data teams had to manually implement in modeling platforms, leading to inefficiencies, inconsistencies, and governance risks. The Ellie MCP Server fundamentally shifts this paradigm by providing a secure interface on top of the existing Ellie API. Rather than introducing new backends or bypassing controls, it extends AI capabilities directly into live modeling environments under full enterprise oversight.
“Our European data modeling customers needed workflow integration with AI support. This is not just AI suggesting changes. This is AI performing real modeling operations inside your favorite platform like Fabric, dbt or ADO. With this release, modeling capabilities are extended to data engineers and others, without having to leave their environment.” - Sami Hero, CEO of Ellie Technologies
The MCP Server empowers AI to perform structured operations including reading existing models, creating and updating entities and relationships, applying metadata standards, comparing models against live databases, and ensuring proper placement within governed domain and folder structures. Every change generates fully versioned, auditable commits through Ellie’s native API, maintaining the same rigor applied to human interactions.
Real-world use cases demonstrate immediate value for data teams. Architects and business users can prompt AI to build conceptual models for specific domains, with the system automatically identifying the correct folder, establishing entities and relationships, applying metadata, and creating a versioned artifact ready for review in minutes. Business analysts gain instant insight by querying the live metadata repository for entities, attributes, and relationships without relying on outdated documentation. Governance remains embedded, as AI can validate against naming conventions, check for duplicates, enforce glossary alignment, and commit only approved changes.
"We have been using Ellie now for some time and we're excited about the MCP Server and what it offers to our workflows. Our data engineers spend most of their time in Fabric environment and they can now seamlessly query Ellie models and make execution choices in semantic context without having to leave their environment" - Pierre Lagarde, Chief Data Officer, Olaqin
This release advances Ellie’s vision of democratizing full-stack data modeling for both business and technical users through secure, AI-assisted capabilities that preserve structure, standards, and control.
“The general availability of Ellie MCP Server brings us closer to our vision of enabling full-stack data modeling skills to both business and technical users leveraging artificial intelligence.” - continues Sami Hero, CEO of Ellie
About Ellie Technologies
Ellie Technologies provides enterprise-grade data modeling and governance solutions designed to support modern data architectures. With the introduction of the MCP Server, Ellie extends its platform to support secure, AI-assisted modeling—without compromising structure or standards.
About Olaqin
Olaqin is a French e-health group that helps healthcare professionals secure and optimize their revenues through innovative, integrated software solutions.
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