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How to Use the Todoist MCP in Mastra AI

Build reliable, multi-step Todoist workflows with Mastra AI.

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…and any MCP-compatible client

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Mastra AI

Connect Todoist MCP to Mastra AI

Create your Vinkius account to connect Todoist 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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Complex Task Lifecycle Management via MCP Server

The `get_task_details` tool retrieves all information about a specific task. You can then use `update_task_details` to modify that task's content or due date. This setup is ideal for Mastra AI's workflow engine, letting it check the status first (read) and then execute an action (write), handling failures like missing data automatically.

Project Structure Discovery

To map out a project, you can call `list_projects` to see everything. If you need deeper context, `get_project_details` pulls the full metadata for that container. Mastra AI uses this information to build its workflow graph. It knows exactly which projects exist before trying to run any actions.

Reopening Closed Todoist Tasks

If a task is finished but needs action again, the `reopen_task` tool reactivates it. This simple function is crucial for complex workflows that might need retries. Mastra AI handles this perfectly: if one step fails (e.g., an update times out), the workflow can automatically try to reopen or modify the task on a later attempt.

Setup guide

Set up Todoist 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. 1

    Install dependencies

    Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Todoist tools become native Mastra tools.

  4. 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: "todoist-extended-mcp-client",
  servers: {
    "todoist-extended-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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

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Real-time monitoring

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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 Todoist MCP in Mastra AI

Mastra AI manages complex, multi-step processes involving your Todoist data. It's designed to handle failures gracefully—if a task update fails, it can retry the action automatically.
Yes. The `list_projects` tool lets your workflow engine pull every project name. This forms the starting point for any large-scale operational task.
Absolutely. Mastra AI's built-in retry logic kicks in. If `update_task_details` hits an error, the agent doesn't just quit; it backs off and tries again.
You can call `list_all_labels`. This gives your workflow engine visibility into all available tags, which is needed before it attempts any filtering or grouping.
It touches Project and Task status data, including details, reopening capabilities, and labels.

Start using the Todoist MCP today

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