How to Use the Doodle MCP in Mastra AI

Q: How do I handle Doodle scheduling retries in Mastra AI using MCP?

Mastra AI natively handles retries for tools like listpolls when they encounter rate limits. The built-in workflow engine pauses and retries the call until the scheduling data is retrieved.

Q: Can a Mastra AI workflow require approval before closing a Doodle poll?

Yes. You can configure requireToolApproval on the closepoll action. This pauses the workflow and waits for a manager to verify the selected time slot.

Q: How does Mastra AI manage Doodle comments?

Your agent uses addcomment to post status updates directly to the poll. It can also run getcomments to parse feedback and decide if it needs to adjust the proposed meeting times.

Q: What happens if a participant changes their availability?

The workflow uses listparticipants to check the current votes. If a conflict arises, Mastra AI triggers removeparticipant to clean up the records and updates the scheduling state.

Build resilient Mastra AI workflows that automatically manage Doodle polls, handle participant votes, and resolve scheduling conflicts.

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Automate Multi-Step Meeting Polls

The `create_poll` tool initiates automated meeting coordination within your Mastra AI workflows using this MCP Server. If a poll creation fails due to network issues, Mastra retries the request automatically using built-in exponential backoff. Once created, the workflow triggers `get_poll` to verify the details before notifying your team. This ensures your automated scheduling pipelines never stall on minor network hiccups.

Conditional Branching for Participant Votes

The `add_participant` tool registers voter availability within your Mastra AI step-by-step decision trees via this MCP integration. Your workflow branches based on the response, automatically executing different paths depending on participant availability. When a participant declines, the agent runs `remove_participant` and branches to find alternative options. This conditional logic allows your system to handle scheduling changes without manual developer intervention.

Automated Poll Closure in Mastra AI Workflows

The `close_poll` tool finalizes the target meeting date once your Mastra AI workflow detects that all key stakeholders have voted. Configure a human-in-the-loop approval step to double-check the chosen slot before locking it in. If the workflow requires a reset, the agent calls `delete_poll` to clear the state and restart the process. This keeps your scheduling database clean and free of abandoned coordination attempts.

Setup guide

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

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

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

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Common questions about Doodle MCP in Mastra AI

Mastra AI natively handles retries for tools like `list_polls` when they encounter rate limits. The built-in workflow engine pauses and retries the call until the scheduling data is retrieved.

Yes. You can configure requireToolApproval on the `close_poll` action. This pauses the workflow and waits for a manager to verify the selected time slot.

Your agent uses `add_comment` to post status updates directly to the poll. It can also run `get_comments` to parse feedback and decide if it needs to adjust the proposed meeting times.

The workflow uses `list_participants` to check the current votes. If a conflict arises, Mastra AI triggers `remove_participant` to clean up the records and updates the scheduling state.

Your Doodle poll, participant, and comment data are fully isolated during execution. Vinkius runs this MCP Server in a zero-trust sandbox where credentials never leak, ensuring your scheduling records remain confidential.

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