How to Use the WebVizio MCP in Mastra AI

Q: How do I check WebVizio project details using Mastra AI?

The agent calls getwebvizioprojectdetails. Because Mastra AI handles complex state, it ensures the full, accurate dataset is returned to continue your workflow.

Q: How do I list all WebVizio projects with Mastra AI?

Use the listwebvizioprojects tool. The workflow engine ensures that even if multiple API calls are needed, they execute sequentially and reliably within one deployment.

Q: Does WebVizio support webhooks with Mastra AI?

Yes. You use listwebviziowebhooks to manage connections. The workflow engine makes sure that if an external service changes, the webhook list is updated and validated.

Build reliable workflows that manage WebVizio feedback with Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WebVizio MCP to Mastra AI

Create your Vinkius account to connect WebVizio 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.

GDPR Free for Subscribers

Setup WebVizio with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

MCP Server Project Retrieval

Start your workflow by listing available projects using `list_webvizio_projects`. If you need deeper context, the agent can call `get_webvizio_project_details` to retrieve full project records. The Mastra AI engine handles this multi-step data gathering reliably. If one step fails, it automatically retries until the necessary information is secured.

Handling WebVizio Task Creation

When a new bug needs tracking, the workflow executes `create_webvizio_task`. This function returns a task ID that subsequent steps need. You'll then use `update_webvizio_task` to set initial statuses. The conditional branching feature means your agent can check if the task status is 'Awaiting Review'; if not, it retries the creation process with different parameters.

Monitoring and Webhook Logic

Set up external triggers using `list_webvizio_webhooks`. Your agent can verify that webhooks are correctly configured for critical events. The workflow engine makes this robust. It doesn't just run the command; it monitors the return status, ensuring that if a webhook list fails, an admin notification is automatically triggered.

Setup guide

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

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

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

Get your connection token →

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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WebVizio now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WebVizio MCP in Mastra AI

The agent calls `get_webvizio_project_details`. Because Mastra AI handles complex state, it ensures the full, accurate dataset is returned to continue your workflow.

Absolutely. You can build a multi-step process: check the current status using `get_webvizio_task_details`, then use `update_webvizio_task` to move it forward if required.

Use the `list_webvizio_projects` tool. The workflow engine ensures that even if multiple API calls are needed, they execute sequentially and reliably within one deployment.

Yes. You use `list_webvizio_webhooks` to manage connections. The workflow engine makes sure that if an external service changes, the webhook list is updated and validated.

This MCP Server deals with task creation and updates. The workflow engine manages `update_webvizio_task`, so you must account for potential changes to the task status.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript