Twilio Brings Customer Engagement Workflows into Claude by Anthropic

Twilio Brings Customer Engagement Workflows into Claude by Anthropic

Every customer interaction, verification message, support call, and appointment reminder runs on communications infrastructure that has to be designed, built, and maintained. For most teams, that work still means stitching together APIs by hand, cross-referencing documentation, and pulling in specialists to get a single workflow into production.

Today, Twilio is bringing customer engagement directly into Claude. The new Twilio Connector for Claude, available across Claude Cowork and Claude Code, gives Claude secure, real-time access to Twilio’s communications platform, so teams can go from a natural-language request to a working customer engagement workflow without leaving their AI workspace.

Built on the Model Context Protocol (MCP) and paired with Twilio Skills, the integration turns Claude from a model that knows about Twilio into a collaborator that can build with it. Selecting the right products, applying proven architecture patterns, and generating production-ready implementations grounded in Twilio’s live API specifications.

Build customer engagement where work happens

With the Twilio Connector enabled in Claude.ai, Claude Cowork, and Claude Code, teams can describe the customer experience they want and let Claude handle product selection, architecture, and implementation. Here are a few examples of what’s possible:

• Verify users at sign-up – stand up phone and email verification with Twilio Verify and fraud scoring layered in via Lookup, from a single prompt.
• Launch an AI voice agent – design a conversational voice experience with Conversation Relay, persistent context via Conversation Memory, and live escalation to a human through TaskRouter.
• Keep conversations continuous across channels – let a customer start on a phone call and pick up over SMS with full context, orchestrated through Twilio Agent Connect.
• Add real-time compliance and sentiment monitoring – attach Conversation Intelligence to any voice or messaging flow to flag risk and surface insights as conversations happen.
• Debug and optimize what’s already running – ask Claude to review an existing messaging flow against current Twilio best practices and recommend improvements.

Each workflow is grounded in Twilio’s live API definitions including products released after any model’s training cutoff so Claude’s recommendations and code reflect what Twilio actually supports today, not an approximation of it.

For developers: the Twilio plugin for Claude Code

For engineering teams working in Claude Code, Twilio is also releasing an installable plugin that bundles the MCP-powered Connector with Twilio Skills. These are structured, expert-authored guidance that encodes how Twilio’s developers, SEs, and TAMs design real systems.

Skills give Claude the procedural knowledge that documentation alone can’t, which products to combine for a given use case, which patterns scale, and which approaches to avoid. The result is an agent that plans like a Twilio solutions engineer and implements against the exact, current API specification reducing guesswork, hallucination, and rework.

To get started, see the Twilio developer guide for Claude, or share feedback with the team at questions-mcp@twilio.com.