How to Use the 8x8 Work MCP in Mastra AI

Q: How do I branch logic based on 8x8 Work ring group stats?

Create a workflow step that evaluates the output from listringgroups. You tell the system to route alerts differently depending on the active queue depth.

Build resilient call auditing workflows with Mastra AI and the 8x8 Work MCP Server.

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Connect 8x8 Work MCP to Mastra AI

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

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Automate Call Record Auditing

Telecom APIs fail, so your workflows need built-in durability. Mastra AI executes `list_call_records` to pull daily call logs and automatically retries with exponential backoff if the endpoint times out. You define conditional branches based on the results. If a call drops, the agent flags it; if the connection succeeds, the script logs the details and moves to the next step.

Track Agent Extensions via Mastra AI

Monitoring sales performance requires pulling stats across dozens of reps. Your workflow calls `get_extension_summary` to gather talk time and hold metrics for each individual. The framework handles the sequence logic while the MCP Server fetches the actual numbers. You deploy this multi-step process to your cloud provider with a single command.

Analyze Ring Group Queues

High wait times in customer support queues demand immediate attention. An agent runs `list_ring_groups` to check queue depths and triggers an alert if the volume crosses a specific threshold. Developers rely on the requireToolApproval feature to keep a human in the loop before notifying a supervisor. This setup prevents false alarms when call spikes happen naturally.

Setup guide

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

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

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

Install @mastra/mcp and instantiate a new MCPClient with your Vinkius server URL. Call listTools() and spread the results into your agent's tool array. The framework auto-detects the transport method.

The built-in workflow engine handles this automatically. If a request for get_extension_summary drops, the system triggers exponential backoff until the data comes through.

You can configure any tool to require manual sign-off. Setting requireToolApproval pauses the execution before the agent pulls sensitive call logs.

Create a workflow step that evaluates the output from list_ring_groups. You tell the system to route alerts differently depending on the active queue depth.

Ring group analytics and call histories pass through a stateless connection. The platform uses token-based auth to secure the endpoint, ensuring your internal metrics never sit on a shared database.

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