Midrange Dynamics Midrange Dynamics

Enterprise AI Platform for IBM i

Knowledge Driven Change for IBM i

Knowledge-Driven Change platform: an AI agent connects through the MCP control plane to MDiQ for application knowledge and MDChange for governed change, over the IBM i application estate.

Midrange Dynamics enables organisations to safely use AI to understand, change and modernise IBM i applications — without exposing entire source code repositories or allowing AI to make uncontrolled changes.

The platform combines MDiQ, secure REST APIs, an MCP Extension and MDChange. Together these provide an AI platform that not only answers questions but can safely participate in governed software delivery.

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Understand · Create · Deliver

Unlike traditional analysis tools

Structured knowledge, controlled APIs, IDE-native AI access and enterprise DevOps — so AI never needs unrestricted access to source code or production systems.

MDiQ

A structured application knowledge graph, MCP server and application explorer.

Secure REST APIs

Controlled access to knowledge and DevOps governance — for MCP agents and any custom client.

MCP Extension

Seamless AI integration with IDEs such as VS Code, Cursor, Windsurf and IBM's BOB tooling.

MDChange

Enterprise DevOps governance that controls every change from development through deployment.

Why this matters

Give AI the map, not the whole codebase

Most AI tools expose large amounts of source code and ask an LLM to infer relationships. MDiQ takes a completely different approach.

Before AI is involved, MDiQ analyses the application and builds a node-edge knowledge graph. AI receives structured business knowledge rather than having to rediscover it every time.

  • Accuracy
  • Consistency
  • Speed
  • Explainability
  • Token efficiency
  • Scale on very large applications

Knowledge graph entities

What MDiQ maps and connects across your IBM i application.

  • Library
  • PhysicalFile
  • LogicalFile
  • Index
  • Column
  • Trigger
  • Constraint
  • SqlFunction
  • SqlProcedure
  • Domain
  • DomainRule
  • RecordFormat
  • DisplayField
  • ILEModule
  • ILEProcedure
  • ServiceProgram
  • Program
  • Command
  • DisplayFile
  • ProgramParameter
  • ProgramVariable
  • Subroutine
  • BusinessRule
  • DataModelRelationship

Secure by design

Secure knowledge and governance exposure

The knowledge graph and DevOps governance layer are never exposed directly. They are accessed through carefully designed REST APIs that expose only the metadata or governance capability required.

The MCP server

Maps selected APIs to MCP tools so AI agents can request only the information or governance action needed for a question or change.

Any custom client

Calls the same APIs directly — portals, internal tools, automation scripts or other enterprise systems — without going through an IDE or an LLM.

MDChange governance, same interface

Change status, deployment impact, required tests, approvals and audit context are available through the same controlled REST surface.

Ask what matters

Typical questions answered through the APIs.

  • Which programs update Customer Balance?
  • Show every object affected by this field.
  • Explain this RPG procedure.
  • Which APIs call this program?
  • What must be tested before deployment?
  • What fields are used in the program?
  • What variables does this database field relate to?
  • Where is this procedure explicitly used?
  • What variables are related to a specific variable, either directly or indirectly through cascading assignments across programs?

Less unnecessary AI context, better answers — and non-AI clients get the same structured access without a separate integration stack.

MCP integration

AI integration through MCP

The same knowledge and governance APIs are available inside modern AI-enabled IDEs through an MCP Extension. The MCP server issues agent requests against those REST APIs; it does not bypass them.

Developers simply ask natural language questions. The MCP layer securely retrieves only the required information and returns structured answers to the AI — adding significant security, cost and performance benefits for large scale development or modernisation projects that use AI code generation.

Coming Q4 2026

MDiQ MCP Server — a centralised server version with an on-prem LLM model architecture, avoiding any need for cloud-based AI LLMs or internet interaction. Both IDE and non-IDE AI agents can then access MDiQ Application Knowledge and MDChange DevOps Governance through the same REST APIs.

Supported environments

  • VS Code
  • Cursor
  • Windsurf
  • IBM BOB environments
  • GitHub Copilot
  • Claude Code
  • Future MCP-compatible IDEs

Governed delivery

Why MDChange makes the difference

Many AI tools stop at recommendations. Because the platform is integrated with MDChange, approved AI-generated work participates in governed DevOps — through the same REST APIs used for knowledge queries, not a parallel, ungoverned path.

  • Checkout and locking
  • Build orchestration
  • Dependency-aware compilation
  • Testing
  • Approvals
  • Rollback
  • Deployment
  • Audit trails
  • Release management

AI operates within established governance rather than bypassing it.

The result is higher quality, repeatability and significantly lower operational risk.

What you gain

Business benefits

Better AI answers

Structured application knowledge eliminates guesswork.

Faster modernisation

Developers spend less time discovering how applications work.

Reduced risk

Only approved, governed processes reach production.

Higher productivity

AI becomes an active engineering assistant instead of merely a chatbot.

Enterprise scale

Large IBM i applications can be analysed without sending entire codebases to an LLM.

Open but controlled access

The same REST APIs serve MCP agents and custom clients, so knowledge and DevOps governance are reusable across the enterprise without exposing source or loosening control.

Comparison

Comparison with traditional analysis tools

Traditional products are excellent for documentation, visual exploration and impact analysis. Midrange Dynamics extends beyond documentation — making knowledge and DevOps governance consumable through secure REST APIs, integrating into developer workflows via MCP, and governing change through enterprise DevOps.

Capability Midrange Dynamics Traditional Tools
Interactive application knowledge graph Yes Primarily documentation focused
REST APIs exposing structured knowledge and DevOps governance Yes — MCP agents and custom clients Limited or product specific
MCP integration for AI agents Yes Generally not a core capability
AI-ready structured knowledge Yes Primarily visual navigation
DevOps governance integration Yes — MDChange Typically external or limited
Controlled AI-assisted deployments Yes Not a primary objective

Competitive position

Beyond documentation, into governed delivery

Rather than replacing documentation tools, the Midrange Dynamics platform creates an enterprise AI layer above your IBM i applications.

  • Structured knowledge
  • Secure REST API access for MCP agents and custom clients
  • Native stored procedure knowledge access
  • AI integration
  • Governed software delivery

Move from understanding software to allowing AI to safely participate in software engineering.

In summary

MDiQ gives AI the knowledge. Secure REST APIs expose that knowledge and MDChange DevOps governance to the MCP server (for agent requests) and to any custom client (for direct access). The MCP Extension and Server bring it into the developer's IDE or AI agents. MDChange ensures every AI-assisted change is governed, repeatable and production-ready.

What's included

MDiQ — key product components

  • Builds a complete, subject matter expert map of all application entities on the IBM i

  • An application repository explorer UI implemented for both IDE Extensions (Bob, VS Code, Cursor and others) and a pure web UI

  • Enables creation and management of application domains and subdomains for scoping projects or knowledge content

  • Markdown documentation server for building and sharing business and technical documentation around the extracted knowledge graphs — with PDF, Word and Spreadsheet exports

  • MCP Local IDE extension and IBM i centric MCP Server (Q4 2026)

  • Secure REST APIs that expose MDiQ knowledge and MDChange DevOps governance to the MCP server and to any custom client

  • SQL Stored Procedures for exposing knowledge graphs natively on IBM i to any IBM i process or program

What's next

Development roadmap

  1. Integration with MDTest

    Exploiting AI CodeGen to auto-create MDTest unit tests in RPGLE.

  2. Knowledge Driven Change in MDChange

    Real-time end to end visibility of change projects.

  3. Sitemule modernisation integration

    Re-engineering applications into modern UIs with REST API backend generation, using AI governed by MDiQ knowledge graphs.

Speak To Our Experts

For more info, a live demonstration, or to discuss governed AI for your IBM i applications with the Midrange Dynamics team.

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