One of the first loyalty platforms with a native Model Context Protocol server. Claude, Cursor, and any MCP-compatible agent can query loyalty state, trigger engagement actions, and build agentic workflows without custom integration code. Currently in early access.
Nudj, native to your AI stack
Model Context Protocol is the emerging standard for how AI agents talk to the tools they use. Nudj is one of the first loyalty platforms to ship a native MCP server — so Claude, Cursor, and any MCP-compatible AI can read and write loyalty data without custom integration work.
Currently in early access.
What you can do with it
Query loyalty state from inside your AI workflow — "show me the at-risk customers in the Gold tier"
Trigger engagement actions via natural language — "run a surprise reward drop for customers who haven't visited in 14 days"
Build agentic loyalty workflows — AI agents that read, reason about, and act on customer behavior without you writing a single API call
Integrate gamification directly into AI products — your chatbot, agent, or copilot can award points and unlock badges as part of the conversation
How it works
The MCP server exposes Nudj's full 240+ API surface as a set of tools an MCP client can call. The client (Claude, Cursor, an agent framework, your own custom MCP host) discovers the tools, understands what they do from their descriptions, and calls them on demand. No custom integration code, no translation layer, no prompt engineering to teach the agent how to use Nudj.
Authentication uses standard OAuth 2.0. Every action is audit-logged like any other API call, so you get the security and observability of your existing Nudj infrastructure, with the flexibility of natural-language control.
Who it's for
Product teams building AI-native applications that need a loyalty layer without a backend lift
Loyalty operators who want to configure campaigns and rules conversationally instead of clicking through an admin
Agencies running AI-assisted workflows for multiple client communities
Enterprise ops using agent frameworks to automate customer lifecycle actions
Why it matters
The next generation of loyalty programs won't be configured through admin panels — they'll be described in natural language to AI agents that handle the implementation. Nudj's MCP server is the bridge between "I want customers who abandoned cart on their third visit to get a free shipping reward" and that rule actually being live in your loyalty program. It's also a signal about where the platform is heading: Nudj is built to be programmable by humans and by the agents humans will increasingly delegate to.
Early access
The MCP server is available in early access for enterprise customers. Get in touch if you want to build AI-native loyalty workflows on Nudj before it's generally available.
