1. Configuration & Security
In your AI application (like Claude, ChatGPT, OpenCode, or Gemini), configure our platform as an MCP server. This tells the assistant how to connect. This architecture ensures the AI never connects directly to your internal database systems; all communication goes securely through the standardized MCP server layer.
2. Discovery & Capabilities
Once the connection is established, the AI assistant dynamically discovers which tools and resources are available. These tools represent supported platform actions, such as retrieving tracking statistics, dynamically creating or updating QR Code, accessing active campaign data, or running backend functions.
3. Request Routing
When a user asks the AI assistant to perform an action, the assistant evaluates the prompt and determines if a platform tool is required. If needed, it structuralizes a secure request and routes it to our MCP server, which validates the incoming payload and communicates safely with the core platform interfaces.
4. Response and Processing
The QR Code Platform processes the backend request and securely returns the raw data back to the MCP server. The MCP server translates this data into a structured format that the AI assistant natively understands, allowing the model to quickly formulate a clear, contextual final answer for the user.