WAMAI for Visual Studio Code
The official Visual Studio Code extension for WAMAI — AI-powered knowledge assistant for eWam development.
WAMAI brings deep, retrieval-augmented knowledge of the eWam platform directly into GitHub Copilot, eliminating the need for manual configuration and keeping your framework expertise always up to date.
⚠️ Requires a WAMAI subscription. A free trial is available — sign up at wamai.mphasiswyderd.com.
Features
🤖 @wamai Chat Participant
Talk to WAMAI directly in Copilot Chat:
- Ask about WAML syntax and language rules
- Look up eWam framework APIs and patterns
- Get code examples grounded in your actual framework version
- Generate WAML classes, relations, and methods with correct syntax
The @wamai participant injects the WAML language primer into Copilot's context automatically — so the model knows WAML syntax before searching the knowledge base, using the full retrieval budget for framework-specific results rather than language basics.
@wamai How do I declare a versioned relation in aFullObject?
@wamai Show me the OQL cursor pattern for a list query
@wamai What's the difference between aLightObject and aFullObject?
🔌 Automatic MCP Server Registration
WAMAI registers its knowledge server programmatically — no manual mcp.json required:
- Zero workspace configuration — works across all your eWam projects instantly
- Secure key management — your subscription key is stored in the OS keychain, never in workspace files
- Dynamic registration — the server is registered on sign-in and deregistered on sign-out
In Copilot's agent mode, WAMAI knowledge tools are available automatically.
📚 Bundled Knowledge Assets
WAMAI includes bundled assets inside the extension package:
- WAML editing skill —
waml-editing.skill.md
- WAML developer agent definition —
waml-developer.agent.md
- Embedded primer/tool metadata — injected by the
@wamai participant and tool definitions for correct WAML syntax support
🔗 eWam Extension Integration
When the eWam extension is running, WAMAI can enrich AI context with live metamodel data:
- Class hierarchy and inheritance tree from the running engine
- Field, relation, and method outlines for a specific class
- Project metadata and engine connection state
This gives Copilot three layers of context: general coding knowledge + WAMAI framework retrieval + your actual live codebase structure.
Getting Started
Requirements
Installation
- Install the extension from the VS Code Marketplace or load it in the Extension Development Host.
- If you don't have a WAMAI account yet, sign up at wamai.mphasiswyderd.com.
- Open the VS Code Accounts menu and choose the MphasisWyde / WAMAI sign-in option.
- Sign in with GitHub, Microsoft, or your WAMAI email and password.
- After sign-in, the WAMAI MCP server registers automatically using a subscription key retrieved for you.
- Open Copilot Chat and start with
@wamai to confirm the participant is available.
The Get Started walkthrough guides you through the setup.
Documentation
Support
For questions, access requests, or feedback, contact us.
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