About
A Model Context Protocol server that provides access to Twilio’s public APIs, enabling AI tools and assistants to interact with Twilio services securely. It supports selective API exposure via service or tag filters.
Capabilities

Overview
The Twilio MCP server is a specialized Model Context Protocol (MCP) implementation that exposes the full breadth of Twilio’s public APIs to AI assistants and other MCP‑compatible tools. By acting as a translation layer, it allows natural language agents to query and manipulate Twilio resources—such as messages, calls, phone numbers, and media—without writing code. This solves the common pain point of integrating telephony services into conversational AI workflows: developers no longer need to manually construct HTTP requests or handle authentication; the MCP server handles these details behind the scenes.
At its core, the server offers two distinct packages. The mcp package is a ready‑to‑run service that loads all of Twilio’s public endpoints, while the openapi-mcp-server package can serve any OpenAPI specification, enabling rapid deployment of custom Twilio‑derived APIs. Both packages support fine‑grained filtering via and , which is essential for keeping context size manageable in large language models. The server also respects Twilio’s API versioning, ensuring compatibility with the specific API releases that your application depends on.
Key capabilities include:
- Secure authentication through Twilio API keys and secrets, with clear guidance on credential formatting.
- Dynamic service exposure, allowing developers to expose only the APIs they need, reducing token usage and context overhead.
- OpenAPI compatibility, enabling rapid iteration on custom endpoints or extensions of Twilio’s functionality.
- Integrated troubleshooting for common issues such as context limits, authentication failures, and version mismatches.
In practice, this MCP server empowers a variety of real‑world scenarios. An AI assistant can send SMS or WhatsApp messages, place outbound calls, or retrieve call recordings—all via natural language prompts. Customer support bots can pull ticket information and trigger Twilio notifications, while marketing automation tools can schedule campaigns that involve voice or messaging. By integrating the MCP server into existing AI workflows, teams can focus on business logic and user experience rather than plumbing telephony APIs.
What sets the Twilio MCP server apart is its commitment to security and reliability. The documentation explicitly recommends avoiding community‑built servers alongside the official one, mitigating injection risks and ensuring that only trusted MCP instances interact with sensitive Twilio data. Combined with comprehensive configuration options and a clear developer path, the Twilio MCP server provides a robust bridge between AI assistants and one of the world’s most widely used communication platforms.
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