How to Use the Sunsama MCP in Mastra AI

Q: How do I automate task status changes in Sunsama using Mastra AI?

The workflow triggers updatetask when a status change is detected, modifying fields like owners or deadlines. This handles the state transition reliably.

Q: Can Mastra AI handle complex task lists from Sunsama?

Yes. The agent can run listtasks and filter results by date to create a structured list of items that need attention, even across multiple projects.

Q: What if I need to check the boundaries for my multi-project Sunsama workflow?

You'd use listcontexts. This tool provides clear detection of all available work environments so your agent knows exactly where to execute the task.

Q: Does this MCP Server help with deleting tasks in Sunsama?

It includes a function, deletetask, that permanently removes an item. Remember, this action is irreversible and must be handled carefully within your workflow logic.

Build reliable, multi-step workflows that manage complex Sunsama tasks with Mastra AI.

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…and any MCP-compatible client

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Connect Sunsama MCP to Mastra AI

Create your Vinkius account to connect Sunsama to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Sunsama with Mastra AI

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Claude

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Gemini

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Automate task creation and modification reliably.

Use `create_task` in a workflow to ensure every new item is logged correctly, even if the initial attempt fails. You can include text and planned dates in this process. The workflow also uses `update_task`, allowing the agent to modify existing items—say, changing an owner or due date—if a prerequisite step changes.

Get structured data about tasks and users.

The system can run `list_tasks` across multiple dates if necessary, pulling in all relevant task details. You also get deep visibility using `get_task_details` for specific items. If you need context on who owns the work or what general scope is active, use `get_user_profile`.

Map out and manage Sunsama's environment.

The MCP Server exposes tools to map your workflow boundaries. Run `list_contexts` to detect all available workspace zones. You can also check the system using `list_channels` to understand which broad areas (like 'Work' or 'Personal') are in play for the current process.

Setup guide

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

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

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

The workflow triggers `update_task` when a status change is detected, modifying fields like owners or deadlines. This handles the state transition reliably.

Yes. The agent can run `list_tasks` and filter results by date to create a structured list of items that need attention, even across multiple projects.

You'd use `list_contexts`. This tool provides clear detection of all available work environments so your agent knows exactly where to execute the task.

It includes a function, `delete_task`, that permanently removes an item. Remember, this action is irreversible and must be handled carefully within your workflow logic.

This server handles task management data: tasks (text/dates), user profiles, list of channels, and project contexts.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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