Uploaded May 2025 | Updated September 2026, 40 minutes ago
OpenAI now supports remote MCP (Model Context Protocol) servers in the Responses API—and in this video, we’ll show you exactly how to deploy your own Twilio MCP Server using Twilio Serverless Functions.
Model Context Protocol, or MCP, standardizes how apps can provide context to LLMs. You can speed up your development by deploying a Twilio MCP server, then connecting it to agents with support for remote MCP servers. Our friends at OpenAI just added support for Remote MCPs to their Responses API, so we want to show you an example of developing with the Responses API and your Twilio MCP server.
👉 Subscribe for more developer content: twil.io/sub-twiliodevs
🗣️ Join the Twilio Discord: twil.io/tu-discord
🔗 Links from the video:
How to install Twilio CLI: twil.io/install-cli
Link to MCP Function Template: twil.io/mcp-template
Twilio Virtual Phone: twil.io/virtual-phone
Twilio MCP deployment tutorial: twil.io/deploy-mcp-blog
OpenAI Remote MCP support release blog post: twil.io/openai-mcp
⏰ Chapters
00:00 – What Is MCP and Why It Matters
00:28 – Deploying your own Twilio MCP Server with Serverless Functions
01:34 – Configuring .env and API credentials
02:33 – Testing the MCP Server locally
03:36 – Deploying MCP Server to Twilio Functions
04:02 – Building a Node App to Call OpenAI API
05:01 – Writing code to prompt OpenAI and use Twilio via MCP
07:25 – Running the sample and verifying the results
08:26 – Real-Time Logs from MCP from Functions Logs
09:03 – Blog, Docs & Next Steps
#twilio #openai #mcp
OpenAI now supports remote MCP (Model Context Protocol) servers in the Responses API—and in this video, we’ll show you exactly how to deploy your own Twilio MCP Server using Twilio Serverless Functions.
Model Context Protocol, or MCP, standardizes how apps can provide context to LLMs. You can speed up your development by deploying a Twilio MCP server, then connecting it to agents with support for remote MCP servers. Our friends at OpenAI just added support for Remote MCPs to their Responses API, so we want to show you an example of developing with the Responses API and your Twilio MCP server.
👉 Subscribe for more developer content: twil.io/sub-twiliodevs
🗣️ Join the Twilio Discord: twil.io/tu-discord
🔗 Links from the video:
How to install Twilio CLI: twil.io/install-cli
Link to MCP Function Template: twil.io/mcp-template
Twilio Virtual Phone: twil.io/virtual-phone
Twilio MCP deployment tutorial: twil.io/deploy-mcp-blog
OpenAI Remote MCP support release blog post: twil.io/openai-mcp
⏰ Chapters
00:00 – What Is MCP and Why It Matters
00:28 – Deploying your own Twilio MCP Server with Serverless Functions
01:34 – Configuring .env and API credentials
02:33 – Testing the MCP Server locally
03:36 – Deploying MCP Server to Twilio Functions
04:02 – Building a Node App to Call OpenAI API
05:01 – Writing code to prompt OpenAI and use Twilio via MCP
07:25 – Running the sample and verifying the results
08:26 – Real-Time Logs from MCP from Functions Logs
09:03 – Blog, Docs & Next Steps
#twilio #openai #mcp
