How to Use the Agora MCP in Mastra AI

Q: Will Mastra AI retry failed Agora API calls?

It does. If querycloudrecording times out, the built-in workflow engine uses exponential backoff to attempt the request again without writing custom loop logic.

Design reliable Mastra AI workflows that manage Agora cloud recordings, handle API retries, and monitor active whiteboards automatically.

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Connect Agora MCP to Mastra AI

Create your Vinkius account to connect Agora 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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Setup Agora with Mastra AI

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Automate the recording sequence

Capturing a live stream takes multiple steps that can fail mid-flight. You need a system that handles those failures gracefully instead of crashing the whole process. The Mastra MCP integration executes the exact chain required. It starts with `acquire_cloud_recording`, then branches into `start_cloud_recording`. If the network drops, the workflow engine's exponential backoff kicks in, retrying the connection until the session is safely captured.

Infrastructure provisioning

Spinning up new client environments shouldn't require clicking through a web console. You can write a workflow that provisions everything automatically when a new customer signs up. The agent runs `create_project` to generate the new app credentials. It then verifies the setup using `get_project_details`. If something looks wrong, your workflow can immediately notify an admin before the customer even notices.

Track active sessions via MCP Server

Keeping tabs on usage spikes is critical for managing costs. You can set up scheduled agents that poll your real-time engagement metrics at specific intervals. By combining `list_active_calls` and `get_usage_stats`, the agent builds a complete picture of current platform load. If minutes exceed a certain threshold, the workflow triggers an alert or scales your backend resources.

Setup guide

Set up Agora 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

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

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Agora tools become native Mastra tools.
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: "agora-mcp-client",
  servers: {
    "agora-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agora. 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.

Why Choose Vinkius

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Common questions about Agora MCP in Mastra AI

Install the Mastra MCP package and initialize a new client with your Vinkius URL. Call the list tools function and spread the resulting array into your agent's tool configuration.

Yes. You can require tool approval for destructive actions like `stop_cloud_recording`. The workflow pauses until an administrator signs off.

It does. If `query_cloud_recording` times out, the built-in workflow engine uses exponential backoff to attempt the request again without writing custom loop logic.

Mastra supports one-command deployments to any cloud provider. Since the MCP Server runs remotely on Vinkius, your deployment stays lightweight and stateless.

We isolate every request. The Vinkius zero-trust architecture ensures your project metrics and active call details pass directly to your agent through memory, leaving zero traces after execution.

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