"Carto" matching MCP servers:

Exposes a focused widget workflow for agents, enabling search, inspect, install, create, validate, checkin, and configuration of Cartograph widgets without mirroring the full CLI.

Enables agents to translate natural-language shopping intent into aggregated multi-merchant item discovery, consolidated cross-merchant carts, and structured transaction checkout payloads. Runs as a zero-dependency, MCP-compatible engine that can also be imported directly as a Python module.

Enables monitoring abandoned checkout sessions, diagnosing friction causes, crafting margin-preserving incentive vouchers, and generating multi-channel win-back messages through MCP.

Enables AI assistants to search Australian retailers and fill the user's own online shopping cart through tools for product search, adding items, setting quantities, and checking connection and usage status. Supports Woolworths today, with Coles, Amazon Australia, Kmart and BIG W planned.

Enables agents to translate consumer shopping intent into aggregated item discovery, cross-merchant cart consolidation, and structured transaction checkout payloads across multiple merchants. It runs as a zero-dependency Python MCP server or importable module compatible with Claude Desktop, Cursor, and other work agent frameworks.

Enables AI agents to browse product catalogs and make purchases through a policy engine that enforces spending limits, requires human approval for certain amounts, and logs all actions to an audit trail.