Delight Agent MCP: Your agent's data, in every AI you use

CX and operations teams managing AI agents spend significant time moving between the tools where their AI works and the platforms where they analyze it. You check your resolution rate in one tab, search for a transcript in another, pull quality signals from a third, then try to hold it all in context while forming a view. That's not analysis. That's logistics.

The Delight Agent MCP opens a new interface for that work. Connect any MCP-compatible AI client directly to your live agent data and ask the questions you already have, in the environment you're already in.

How it works

• Ask questions instead of switching tabs: Instead of opening the dashboard, running a filter, copying a conversation ID, and pulling quality signals in a separate tab, you ask one question and get a complete answer. You stay in one place. Your thinking stays intact.
• Investigate faster, in context: When something looks off, you can go from “resolution rate dropped Tuesday” to the specific conversations, the transcripts, and the related quality signals without leaving your AI environment. No reformatting. No exports. No losing your train of thought.
• Surface signals your dashboard was never built to show: For the first time, you can answer questions that the dashboard has never been able to answer: which knowledge items your agent is ignoring, why configured tools never actually fire, and exactly where in a specific conversation the agent misunderstood the customer.
• Make changes, not just observations: Create and update actionbooks, tools, knowledge sources, and agent configuration, from identity and instructions to safeguards, CSAT, and handoff, directly from your AI client. Diagnose an issue and fix it in the same conversation. No dashboard, no context switch.

The Delight Agent MCP is available now for Claude Code, Claude.ai, ChatGPT, Cursor, and Codex.