How to Use the 8x8 MCP in Mastra AI

Q: How do I add 8x8 tools to Mastra AI?

Install @mastra/mcp@latest via npm. Pass your Vinkius server URL into the servers object during client initialization.

Q: How do I require approval for voice calls?

Set the requireToolApproval flag on your agent configuration. Execution pauses until a human reviews the planned action.

Build resilient 8x8 communication workflows with Mastra AI, featuring automatic retries for failed SMS and voice calls.

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Connect 8x8 MCP to Mastra AI

Create your Vinkius account to connect 8x8 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 8x8 with Mastra AI

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Perplexity

Conditional Message Routing with Mastra AI

Hardcoding fallback logic for failed messages wastes engineering hours. Mastra AI handles that complexity natively. You just initialize the 8x8 MCP Server by passing the Vinkius URL into `new MCPClient()`. Spread the results of `mcpClient.listTools()` into your agent configuration. Now the system can attempt a `send_chat_message`, catch a failure, and automatically branch to `send_sms` without extra code.

Automated Delivery Recovery

Network timeouts happen constantly in cloud communications. Relying on basic API calls means dropping critical notifications. Your workflow engine fixes this by wrapping `get_sms_status` in exponential backoff. If a text gets delayed, the agent waits and checks again. Checking `get_call_status` works exactly the same way. You can even configure `requireToolApproval` if a human needs to greenlight a massive outbound broadcast.

Account Health Monitoring

Running out of credits mid-campaign breaks production systems. Your workflow engine checks funds before executing large jobs using this MCP Server. The agent triggers `get_account_balance` before starting a batch run. If funds are low, it pauses the queue and fires an alert. You can also run `check_8x8_status` to ensure API connectivity before deploying to the cloud.

Setup guide

Set up 8x8 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 8x8 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: "8x8-mcp-client",
  servers: {
    "8x8-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "8x8 Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to 8x8 tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent 8x8 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 8x8. 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 8x8 MCP in Mastra AI

Install `@mastra/mcp@latest` via npm. Pass your Vinkius server URL into the servers object during client initialization.

Yes. The framework's built-in workflow engine automatically handles retries with exponential backoff if an API call fails.

Auto-detection handles the transport layer completely. It will negotiate Streamable HTTP or SSE based on what Vinkius provides.

Set the `requireToolApproval` flag on your agent configuration. Execution pauses until a human reviews the planned action.

Every operation executes inside an ephemeral Vinkius sandbox. Your account balances, sub-account IDs, and API tokens are never logged or stored permanently.

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