How to Use the Infinity MCP in Mastra AI

Q: Can mastra-ai handle API retries when updating Infinity tasks?

Yes. If updateboarditem fails due to a network error, Mastra's workflow engine uses its built-in retry mechanism to repeat the call until it succeeds, preventing data loss.

Q: How does mastra-ai handle custom board schemas in Infinity?

The agent calls listboardattributes to discover the active field IDs. Mastra then uses these exact schemas to validate inputs before executing createboarditem.

Build resilient, auto-retrying workflows that sync your Infinity workspaces using Mastra AI agents.

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Connect Infinity MCP to Mastra AI

Create your Vinkius account to connect Infinity 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 Infinity with Mastra AI

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Automate workspace updates with Mastra AI and MCP

Mastra AI lets you build multi-step workflows that don't fall apart when an API hiccup occurs. If your agent tries to update a task status using `update_board_item` and hits a rate limit, the built-in workflow engine uses exponential backoff to retry the request automatically. This ensures that critical status changes are always written to your board. The agent can check the overall system status using `check_api_health` before running heavy batch operations.

Sync board changes using conditional branching

Set up workflows that trigger based on workspace events. This MCP Server handles the raw API calls, allowing your Mastra AI agent to monitor active integrations and route task data through custom conditional paths depending on which folder a task lands in. If an item moves, the workflow uses `list_board_items` to inspect the changes. From there, it can automatically trigger subsequent updates across other boards to keep your teams aligned.

Moderate board comments with autonomous workflows

Keep your workspace communication clean without manual oversight. Mastra AI agents can fetch recent discussion threads using `list_item_comments` and run sentiment analysis or check for action items. If the agent identifies a critical update, it uses `update_board_item` to escalate the card's priority. For outdated or spam comments, it can flag them for review or clean up the task layout.

Setup guide

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

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

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

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Common questions about Infinity MCP in Mastra AI

You register the MCP Server in your Mastra client and spread the tools into your agent. The agent can then run complex sequences, like fetching boards with `list_workspace_boards` and then creating items.

Yes. If `update_board_item` fails due to a network error, Mastra's workflow engine uses its built-in retry mechanism to repeat the call until it succeeds, preventing data loss.

The agent calls `list_board_attributes` to discover the active field IDs. Mastra then uses these exact schemas to validate inputs before executing `create_board_item`.

You can deploy your Mastra agent to any cloud provider using a single command. The agent connects to the Vinkius-hosted MCP Server endpoint securely over HTTPS to execute board actions.

Yes, because your board structures and item comments accessed via `list_item_comments` are processed in memory within your own deployment. Vinkius handles the secure connection to the API, ensuring your workspace credentials are never exposed.

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