Introducing ORMCP Beta:
Object-Relational Mapping
for AI Applications

Software Tree launches breakthrough MCP server that makes relational data instantly accessible to AI agents, chatbots, and RAG applications through object-oriented abstractions.

  • Database-Agnostic — Works with any relational database
  • Reduces AI Compute Costs — Efficient token usage
  • Accelerates Development — No custom integration code
  • Enhanced Security — Controlled data access

ORMCP - Object-Relational Mapping for AI
/*orm_skyway section*/

ORM_Skyway builds the bridge from your relational database to AI — automatically.


ORM_Skyway

Turn an existing relational database into a governed, AI-ready service in one command — where AI agents work with intuitive business objects like Customer and Order instead of raw tables and SQL, improving reasoning clarity and cutting token usage.

Automates reverse engineering, REST packaging, and MCP connectivity — no manual schema work, no custom API code.

Built on Software Tree's proven and evolving ORM expertise — now extended to AI: JDX for ORM, Gilhari for REST, and ORMCP for AI.

Make Enterprise Data AI-Ready

Software Tree’s ORMCP™ MCP Server lets AI agents work with business objects (Customers, Orders, Products) instead of schemas and SQL — improving reliability, reducing token cost, and enabling governed AI workflows.

Why this matters

  • AI agents struggle with schema-level access
  • SQL reasoning is token-heavy and error-prone
  • Enterprises need governance boundaries

ORMCP solves this by exposing curated business objects

ORMCP is a semantic interaction layer between AI agents and enterprise data.

AI Agents

ORMCP

(Business Objects)

Enterprise Data

(Oracle, SQL Server,
Postgres, MySQL, etc.)

Introducing ORMCP Beta:
Object-Relational Mapping
for AI Applications


ORMCP - Object-Relational Mapping for AI

Software Tree launches breakthrough MCP server that makes relational data instantly accessible to AI agents, chatbots, and RAG applications through object-oriented abstractions.

  • Database-Agnostic — Works with any relational database
  • Reduces AI Compute Costs — Efficient token usage
  • Accelerates Development — No custom integration code
  • Enhanced Security — Controlled data access

Featured Video: ORMCP and AI Agents in Action

This video introduces ORMCP, an AI-native data platform designed to help AI agents work reliably with enterprise data. Using a Smart Inventory Watchdog example, it shows how ORMCP provides a curated, object-oriented, MCP-compliant view of business data — improving reasoning clarity, reducing token usage, and establishing a clear governance boundary.

Learn about ORMCP’s benefits, or request beta access when you’re ready.

Companion Podcast: ORMCP Architecture and Design Discussion

This companion podcast explores the architectural principles behind ORMCP, including how curated business objects improve AI reasoning, reduce token usage, and establish clear governance boundaries.

Listen to a deeper discussion of ORMCP’s design and architecture.

AI Token Economics & ORMCP

AI Token Economics & ORMCP

A recent benchmark article comparing MCP approaches for PostgreSQL access highlighted how ORMCP’s object-oriented abstraction can simplify how LLMs reason about relational data while significantly reducing token consumption costs. The article offers valuable insights into the emerging topic of AI token economics and the growing importance of context engineering in Agentic AI architectures.

The article offers valuable insights into AI token economics and the growing importance of context engineering in Agentic AI architectures.

Gilhari - Wins CloudX Award

Gilhari® Wins CloudX Award!

We’re excited to announce that Software Tree's Gilhari® product has won a 2023 CloudX Award for Best Innovation in the Cloud Integration category!.

Gilhari is a flexible microservice framework that makes it easy for developers to create modern applications by simplifying exchanging of JSON data with ubiquitous relational databases in the cloud or on-premises.

Software Tree Celebrates 25 Years of Innovation

Delighting Customers with Versatile and Practical Data Integration Products

Software Tree Celebrates 25 Years of Innovation
Gilhari Microservice Framework

Software Tree Wins Prestigious 2021 DEVIES Award for Our Latest Product, Gilhari™

We’re thrilled to announce that Software Tree has won a 2021 DEVIES Award in the code frameworks/libraries category for its innovative Gilhari microservice framework.

Gilhari makes it easy for developers to quickly develop high-performance, database-agnostic, and Docker-compatible RESTful applications that need to interact with JSON data in cloud or on-premises.

An Accelerator for Transitioning to a Modern Computing Architecture Has Arrived

Software Tree introduces Gilhari™, an innovative microservice framework to simplify JSON persistence in relational databases

Gilhari Microservice Framework

Innovative Object Relational Mapping (ORM)
Technology and Products

To Simplify and Accelerate Modern App Development

  • Powerful
  • Flexible
  • Lightweight
  • Non-intrusive
  • Easy-to-use
Easily persist business model objects in various languages and formats

Java, C#, JSON, Kotlin

 into various relational databases

Oracle, SQL Server, MySQL, Postgres, SQLite...

 on various platforms

Cloud, Enterprise, Desktop, Mobile

Improve Developer Productivity
Reduce Time-to-market
Ideal for Developing Microservices

Why ORM?

Why ORM?

  • Modern application programs are mostly written in object-oriented languages like Java, and the business objects (also known as domain model objects) used in those applications are typically stored in an SQL relational database, like Oracle, SQL Server, MySQL, Postgres, and SQLite.
  • Integrating such applications with a relational database is a big programming challenge because:
    • The object-oriented world and the relational world are conceptually different
    • Mixing object-oriented language programming with SQL relational language is hard
    • Manually writing the verbose mapping logic to bridge the gap between the object-oriented and relational artifacts is tedious and time-consuming
  • Using Object Relational Mapping (ORM) frameworks helps developers easily integrate object-oriented applications with relational databases.

Software Tree’s Multi-platform KISS ORM Products

Software Tree has developed innovative, flexible, and lightweight Object Relational Mapping (ORM) framework products — JDX for Java, NJDX for .NET, and JDXA for Android — with more ORMs in the pipeline. The underlying ORM technology is based on some well thought-out KISS (Keep It Simple and Straightforward) principles.

Our ORMs can simplify and accelerate development of cloud, enterprise, desktop, and mobile applications by eliminating the need to write and maintain endless lines of complex low-level data integration code. Even JSON objects can easily be persisted in relational databases.

JDX ORM
Lightweight ORM

The Benefits of Lightweight ORM Technology

Software Tree’s ORM technology frameworks are lightweight in their design and implementation and provide a lightweight feel in their usage. The lightweight aspects of our ORM technology do not compromise on its power and functionality, though. This results in faster development and deployment of modern applications that require flexible object-oriented access to relational data.

The lightweight nature of our ORMs also makes it easy to integrate them with other tools, frameworks, platforms, Docker containers, IoT software, and microservices.

What they are saying about our ORM products

Dr-Dave Forslund
Dr. Dave Forslund
Deputy Director-
A C L - L A N L
"I'm more impressed with the power and depth of your software every day."
Ankit Jhalaria
Ankit Jhalaria
Enterprise AI Platform Specialist
"What I like about ORM_Skyway is that it tackles one of the harder problems in enterprise AI: giving AI agents useful access to real business data without simply opening up the database."
Sai Yashwanth
Sai Yashwanth
Founder and Researcher -
Turilabs
"ORMCP is the most intuitive way I've seen to expose relational data to modern AI agents. The object-oriented abstraction over a traditional RDBMS feels natural, cleanly designed, and incredibly easy to integrate. I connected it to a PostgreSQL instance and had it running with an MCP client almost immediately. For agentic or RAG-based applications, this dramatically reduces the complexity of building data-aware systems."
Saurabh Oza
Saurabh Oza
Full Stack Developer
“I found the Gilhari microservice framework quite useful for developing a cloud application needing JSON persistence. I liked the simplicity of embedding it in any project without much hustle. I created an app with REST APIs and quickly deployed it to an Amazon AWS EC2 instance thanks to the integration of Gilhari with Docker. The documentation is very good and easy to understand.”
More Testimonials

What they are saying about our ORM products

Dr-Dave Forslund
Dr. Dave Forslund
Deputy Director-
A C L - L A N L
"I'm more impressed with the power and depth of your software every day."

Shweta Gothe
Shweta Gothe
Principal Engineer
(Innovation)
“Gilhari is a simplified, no-code, customizable framework. That's what innovation is all about!”

Dr-Dave Forslund
Sai Yashwanth
Founder and Researcher -
Turilabs
"ORMCP is the most intuitive way I've seen to expose relational data to modern AI agents. The object-oriented abstraction over a traditional RDBMS feels natural, cleanly designed, and incredibly easy to integrate. I connected it to a PostgreSQL instance and had it running with an MCP client almost immediately. For agentic or RAG-based applications, this dramatically reduces the complexity of building data-aware systems."
Saurabh Oza
Saurabh Oza
Full Stack Developer
“I found the Gilhari microservice framework quite useful for developing a cloud application needing JSON persistence. I liked the simplicity of embedding it in any project without much hustle. I created an app with REST APIs and quickly deployed it to an Amazon AWS EC2 instance thanks to the integration of Gilhari with Docker. The documentation is very good and easy to understand.”
More Testimonials

Customers

Latest Technical Article

Exposing Governed Business Objects to AI Agents with MCP

An architectural perspective on formalizing structural semantic intent as a declarative object model, enabling AI agents to interact with relational data through governed abstraction layers.

Exposing Governed Business Objects to AI Agents with MCP