About
A Model Context Protocol server that allows Claude and other AI assistants to send SMS and MMS messages using Twilio. It handles credentials securely and provides pre‑built prompts for common messaging scenarios.
Capabilities

The Twilio MCP Server is a lightweight bridge that lets AI assistants such as Claude send SMS and MMS messages directly through Twilio’s robust messaging platform. By exposing a simple, standardized set of MCP resources and tools, the server removes the need for developers to write custom Twilio integration code. Instead, they can focus on crafting conversational prompts that trigger outbound text communications, while the server handles authentication, request formatting, and delivery confirmation behind the scenes.
At its core, the server listens for MCP commands that describe a message payload—recipient number, body text, and optional media URLs. It then translates these into Twilio REST API calls, returning a structured response that the AI can consume. This tight coupling means an assistant can generate a natural‑language instruction like “Send a reminder to +11234567890” and immediately see the message sent, all without leaving the chat interface. The built‑in prompt templates cover common scenarios such as scheduling reminders, sending alerts, or even composing creative content like haikus before dispatching them.
Key capabilities include secure handling of Twilio credentials, automatic E.164 phone number validation, and rate‑limit awareness to prevent accidental overuse of the messaging service. The server also exposes pre‑built prompts that streamline frequent tasks, reducing repetitive prompt engineering for developers. Because the MCP protocol is language‑agnostic, any AI client that understands MCP can tap into Twilio’s messaging stack, making the server a versatile addition to multi‑tool AI workflows.
Real‑world use cases abound: a project manager can have an assistant send status updates to team members, a customer support bot can push verification codes or ticket confirmations via SMS, and event planners can dispatch automated reminders to attendees—all triggered by conversational cues. In environments where immediate user engagement is critical—such as telehealth check‑ins or emergency alerts—the ability to push messages from an AI assistant directly into the user’s phone can dramatically improve responsiveness and satisfaction.
For developers, integrating this server is straightforward: configure the required environment variables, add a single MCP entry to Claude Desktop’s configuration file, and restart. Once connected, the Twilio tool appears in the assistant’s menu, allowing seamless invocation from any chat. Its unique advantage lies in combining Twilio’s global reach and reliability with the flexibility of MCP, giving teams a powerful yet simple way to embed real‑time messaging into AI‑driven applications.
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