How to Use the VivifyScrum MCP in Mastra AI

Q: How do I manage VivifyScrum projects using Mastra AI?

You'll start by listing available boards via listboards. If you need to create a task, use the createitem tool. The workflow then proceeds to update or check item details as needed.

Q: Does Mastra AI support VivifyScrum's full scope?

It covers the core agile loop. By using getboard and listteams, your agent client gains visibility into both the project structure and the teams responsible for it.

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Connect VivifyScrum MCP to Mastra AI

Create your Vinkius account to connect VivifyScrum 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 VivifyScrum with Mastra AI

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Verify Account Context Before Starting

Before running any process, use `get_account_info` to pull the necessary account details. This establishes context for subsequent steps in your workflow. Pairing this with `list_organizations` lets you verify which organizational scope the current automated job should run within.

Automate Task Creation and Modification

Use `create_item` to automatically write a new story or task into an agile board. This is often followed by using `update_item` if that item needs immediate status changes. The workflow can check for existence first, then create it; otherwise, it just updates the existing record.

Plan and Monitor Project Cycles

Need to know the planning window? Call `list_sprints` to pull all scheduled sprints. You can combine this with `get_board` to confirm which board those sprints belong to. This sequence lets your agent client ensure that any actions taken are confined to the correct, active development cycle.

Setup guide

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

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

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

You'll start by listing available boards via `list_boards`. If you need to create a task, use the `create_item` tool. The workflow then proceeds to update or check item details as needed.

Yes. You can set up conditional steps: if a task needs changing, the flow uses `get_item` and then executes an `update_item`. This allows for multi-step state management.

The server offers twelve tools, including functions to list teams (`list_teams`), get worklogs (`get_worklogs`), and manage webhooks (`list_webhooks`). You can build complex chains around these.

It covers the core agile loop. By using `get_board` and `list_teams`, your agent client gains visibility into both the project structure and the teams responsible for it.

The server primarily handles project metadata, including board names, task descriptions, worklogs, and organizational details. It doesn't interact with personal authentication credentials or financial records.

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