How to Use the Ellie Planner MCP in Mastra AI

Q: Can I set up conditional workflows in Mastra AI based on Ellie Planner task states?

Yes. You can write a step that calls gettask and branches your workflow depending on whether the task is overdue or completed, allowing for automated follow-ups.

Build resilient, multi-step planning agents that manage your Ellie Planner schedule automatically using Mastra AI.

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Connect Ellie Planner MCP to Mastra AI

Create your Vinkius account to connect Ellie Planner 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 Ellie Planner with Mastra AI

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Automated list management with Mastra AI

`list_lists` retrieves all available task lists so your Mastra agent can determine where to catalog incoming action items. By mapping these lists, the MCP-enabled agent routes tasks to the correct categories without manual triaging. If the initial fetch fails due to network instability, Mastra's built-in retry engine handles backoff automatically. Your agent won't crash; it simply retries the request until it successfully locates the target list.

Safe task deletions via human approval

`delete_task` removes obsolete items from your workspace to prevent planning clutter. Because deleting data is destructive, you can configure the agent to require manual approval before executing this tool. The Mastra workflow engine pauses execution and alerts you when a deletion is proposed. Once you approve the action, the agent resumes and cleans up the workspace, keeping your planning board pristine and accurate.

Intelligent labeling and task categorization

`list_labels` exposes all existing workspace tags to the agent for precise categorization. The agent analyzes your task description, checks the available labels, and applies the perfect match using this MCP Server. This prevents the creation of duplicate tags and keeps your board organized. Your agent makes decisions based on your real-world taxonomy, ensuring every new item matches your team's existing workflow.

Setup guide

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

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

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

Instantiate the client, call mcpClient.listTools(), and spread those tools directly into your agent configuration. This gives your agent immediate access to operations like `create_task` and `complete_task`.

Yes. You can write a step that calls `get_task` and branches your workflow depending on whether the task is overdue or completed, allowing for automated follow-ups.

Mastra's workflow engine uses automatic exponential backoff. If you hit a rate limit while running `update_task` across dozens of items, the framework queues and retries the calls safely.

Yes. The client auto-detects transport types, allowing you to connect over either Streamable HTTP or SSE without writing custom transport handling code.

Your list IDs, task titles, and labels are processed purely in-memory during agent execution. The MCP Server connection runs through Vinkius's zero-trust sandbox, ensuring no planning data is cached or exposed to external networks.

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