Introduced AI Agent scenarios — build interactive, multi-step AI workflows that can reason, take actions, and respond to user input in real time
Conversational chat interface — interact with running AI Agent scenarios through a real-time chat experience with streaming responses
Human-in-the-loop support — AI Agents can pause execution and request input from users, with rich form rendering (labels, placeholders, validation, conditional visibility)
Multi-turn sessions — conversations persist across multiple execution turns, allowing back-and-forth dialogue with an AI Agent without losing context
Agent memory — AI Agents can load and save data to the object model, enabling persistent knowledge across conversations
Structured output — AI Agents can return structured, validated responses in addition to free-form text
XLSX spreadsheet parsing — new built-in agent that reads and extracts data from Excel spreadsheets
MCP (Model Context Protocol) Integration
MCP server endpoint — expose your scenarios, executions, and object model as MCP tools, allowing AI assistants (like Claude, Cursor, etc.) to interact with SyncMyOrders programmatically
MCP OAuth 2.1 support — standards-compliant authentication for MCP clients with automatic authorization server discovery (RFC 9728)
Signal interaction via MCP — submit responses to human-in-the-loop steps through MCP tools, enabling fully automated agent-to-agent workflows
Scenario Builder
Output schema editing — define and edit the output schema for your scenarios directly in the builder
Template mapping improvements — better support for template values in step configuration with an improved mapping editor
Connection category icons — connections now display category-specific icons for easier visual identification
Bug Fixes
Fixed scenario recompilation delay — toggling debug mode no longer unnecessarily invalidates compiled scenarios, eliminating a ~5-7 second hang after compilation
Security and performance improvements
feature improvement fix
Added Filter and GroupBy step outputs to the variable picker. Added ID column header to object instance tables.
Problem tab now shows both server and client validation issues in a single view
Fixed Problem tab filter switching not updating the displayed list
Fixed crash when viewing error details with missing attributes
Error steps now appear in execution history with full debug information
Clear validation errors for scenarios with incomplete step configurations
Execution status now shows the correct state instead of always displaying “in progress” in some cases
Removed invalid statuses from the Invocation History filter dropdown
HTTP agent connection dropdown now populates correctly
Boolean fields in connection forms now render and save properly
Improved Shopify private app support including client credentials authentication
Fixed nested scenario parsing during compilation
feature improvement fix
Added scenario import/export — back up and migrate scenario definitions between environments. Added MCP (Model Context Protocol) integration for AI-assisted scenario management.
Added scenario import/export — back up and migrate scenario definitions between environments
Added MCP (Model Context Protocol) integration for AI-assisted scenario management
Added API key authentication support for programmatic access
Improved rate limiting across the platform with better visibility and controls
Improved handling of truncated events in execution history
Improved OpenAI connection handling and error reporting