In a strategic product move signaling the rapid evolution of conversational enterprise workflows, Delight.ai, a Sendbird company, has launched the Delight Agent Model Context Protocol (MCP), a standards-based integration designed to grant external AI clients secure, real-time access to live customer service data. Building upon its earlier MCP Tool Import release, this new reverse implementation allows popular external AI assistants such as Claude, Codex, and Cursor to query operational workspaces using natural language, eliminating the need to navigate static dashboards or run tedious manual exports. By equipping external developer and productivity tools with more than 35 operational capabilities at launch ranging from real-time agent performance monitoring and conversation transcript searches to quality auditing and workflow configuration the launch addresses escalating enterprise demand for unified, context-aware data access.
Also Read: NiCE Partnering with AWS to Deliver Agentic AI Across Europe’s Regulated Markets
Highlighting this fundamental platform shift, “Enterprise software is becoming something you talk to, not something you log into,” said John Kim, CEO and co-founder of Delight.ai, a Sendbird company. “Instead of opening dashboards, exporting data and piecing together answers, teams should be able to ask a question and receive an answer grounded in operational data. That’s where AI-powered work is headed.” By seamlessly bridging external AI environments directly with central customer experience infrastructure, Delight.ai provides enterprise teams with unprecedented operational visibility, instant decision support, and a robust architecture for next-generation customer service operations.
