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How to Use the Daily.co MCP in Mastra AI

Automate complex WebRTC infrastructure workflows with Mastra AI handling API retries and conditional room provisioning.

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Mastra AI

Connect Daily.co MCP to Mastra AI

Create your Vinkius account to connect Daily.co to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Queue Daily.co batch operations

The `create_batch_job` tool lets your Mastra AI agent process bulk operations across thousands of recordings. You define a workflow that triggers the job, waits, and checks status using `get_batch_job` with exponential backoff. Downloading the outputs relies on `get_batch_job_access_link`. If the Daily.co API times out, the framework automatically retries the request. Your application gets the final download URLs without writing custom polling logic.

Automate SIP and PSTN dialing loops

Workflows can search for local area codes using `list_available_numbers` and acquire them via `buy_phone_number`. The agent evaluates the returned inventory and buys a match based on your conditional logic. Outbound calling uses `start_dial_out`. If the SIP URI fails to connect, the workflow catches the error, triggers `stop_dial_out`, and attempts a secondary phone number. Everything happens within a single state machine.

Manage real-time transcription via MCP Server

Your agent initiates text generation by calling `start_transcription` when a meeting begins. It targets specific languages or user subsets based on the room parameters. Adjusting the active speakers requires `update_transcription`. The workflow listens for new participants joining the room and automatically updates the transcription targets to include them.

Setup guide

Set up Daily.co MCP in Mastra AI

Prerequisites

  • Node.js 18+ and a TypeScript project
  • @mastra/mcp + @mastra/core packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Configure the MCPClient

    Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Daily.co tools become native Mastra tools.

  4. 4

    Run with any model

    Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "dailyco-mcp-client",
  servers: {
    "dailyco-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Daily.co Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Daily.co tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Daily.co transactions"
);
console.log(result.text);

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Daily.co. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Daily.co MCP in Mastra AI

Install `@mastra/mcp` and define a new `MCPClient`. Map the Vinkius URL in the servers block, call `listTools()`, and spread the array directly into your agent's tool configuration.
Set `requireToolApproval` on the `buy_phone_number` definition. The workflow pauses execution, pings a human for confirmation, and only spends the money once approved.
The framework applies automatic exponential backoff to all MCP Server requests. If `list_meetings` hits a limit, the agent waits and tries again without crashing your pipeline.
You build a scheduled workflow that calls `list_recordings` to find files older than 30 days. The agent then maps over the results and executes `delete_recording` for each match.
Vinkius executes the proxy requests inside a zero-trust environment. Your workflow pulls sensitive meeting tokens and SIP URIs via `get_session_data`, and the MCP transport layer drops all context the second the HTTP response closes.

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