Ignition MCP is an AI-assisted development server designed to support Ignition developers.
Ignition MCP
Overview
Ignition MCP is an AI-assisted development server designed to support Ignition developers during application design and implementation.
The goal of this project is not to replace the developer, but to act as an AI Junior Developer that performs repetitive and implementation-heavy tasks while architectural and engineering decisions remain under the control of experienced Ignition developers.
Ignition MCP enables AI agents to understand Ignition project structures and assist with creating, modifying, validating, and refactoring Perspective applications and related resources.
Aim
To provide an AI-powered development assistant for Ignition that helps developers accelerate project implementation while preserving human control over architecture and engineering decisions.
The developer remains responsible for:
- System architecture
- Project structure
- UDT design
- Naming conventions
- Alarm philosophy
- Historian strategy
- Performance requirements
- Security considerations
- UI/UX decisions
The AI focuses on:
- Repetitive implementation tasks
- Resource generation
- Configuration assistance
- Validation
- Refactoring
- Documentation support
Vision
Ignition Developer
↓
Architecture & Design Decisions
↓
Ignition MCP (AI Junior Developer)
↓
Implementation & Validation
↓
Human Review
↓
Deployment
Key Features
Perspective Development
- Create Perspective views
- Add and configure components
- Manage view parameters
- Generate layouts
- Configure navigation
- Support reusable component patterns
Tag Management
- Create tags and folders
- Create and manage UDTs
- Generate UDT instances
- Organize tag structures
- Maintain naming consistency
Binding Assistance
- Property bindings
- Tag bindings
- Expression bindings
- Indirect bindings
- Transform configuration
Alarm Configuration
- Alarm creation
- Alarm property configuration
- Alarm validation
- Standardized alarm patterns
Historian Support
- Historian tag configuration
- Trend screen generation
- Historical data integration
Project Understanding
- Read existing projects
- Analyze project structures
- Search components and resources
- Identify dependencies
- Understand relationships between views and tags
Validation
- Detect duplicate resources
- Validate paths and references
- Verify bindings
- Identify common configuration issues
- Reduce implementation mistakes
Refactoring Assistance
- Improve maintainability
- Remove duplicated configurations
- Apply reusable patterns
- Support project cleanup
Documentation and Knowledge
- Perspective best practices
- Binding examples
- Component usage examples
- Naming conventions
- Reusable implementation patterns
Design Philosophy
Ignition MCP follows a clear separation of responsibilities:
Human Developer
Responsible for:
- Architectural decisions
- Engineering trade-offs
- Standards and conventions
- Performance considerations
- System design
AI Assistant
Responsible for:
- Implementation
- Repetitive tasks
- Configuration generation
- Validation
- Refactoring
- Knowledge retrieval
Typical Workflow
Requirements
↓
Human Architect
↓
Implementation Plan
↓
Ignition MCP
↓
Validation
↓
Human Review
↓
Deployment
Long-Term Goal
Build an AI-powered development assistant that enables Ignition developers to work faster, maintain higher quality projects, and spend more time on engineering decisions rather than repetitive implementation tasks.