How to Use the Wrike MCP in Mastra AI

Q: Does this MCP Server support human intervention when using Wrike with Mastra AI?

Yes, it supports requireToolApproval. This means that if a critical action is needed, the workflow pauses and waits for a human operator to manually approve or modify the outcome.

Q: What specific types of Wrike data does this MCP Server touch?

This server touches task metadata (via updatetask and gettaskdetails), team membership (listteammembers), and project structure data.

Build resilient, multi-step automation workflows for Wrike using Mastra AI.

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Connect Wrike MCP to Mastra AI

Create your Vinkius account to connect Wrike 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 Wrike with Mastra AI

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Claude

Perplexity

Automate task updates with failure handling.

Use `update_task` to modify a task's status or description. If the API call fails, Mastra AI can automatically retry the operation using exponential backoff. This means your workflow keeps running even if Wrike is temporarily unavailable. This capability is huge for building reliable pipelines that handle external system failures gracefully.

Orchestrate complex project initiation.

You can chain together multiple steps: first, call `get_user_profile` to verify the initiator, then use `create_task` to build the new item. If the task creation fails (e.g., invalid data), the workflow triggers a separate notification step. Mastra AI's conditional branching handles this logic; it won't just stop when things go wrong.

Manage project assets and status checks.

Need to see if all necessary files are attached? Run `list_task_attachments` first. Then, based on whether that list is empty or full, the workflow can branch—either failing fast or proceeding with the next step. The ability to handle these failures and retries makes it perfect for mission-critical business processes.

Setup guide

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

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

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

Mastra AI uses automatic retries with exponential backoff. If a task modification via `update_task` fails, it doesn't just give up; it waits and tries again automatically.

Absolutely. You can conditionally branch based on tool results. For example, if `list_tasks` returns zero active items, the workflow sends an alert instead of proceeding.

You need to pass the MCP endpoint URL to your new MCPClient. The framework then manages the execution and handles any complex logic defined in your workflow engine.

Yes, it supports `requireToolApproval`. This means that if a critical action is needed, the workflow pauses and waits for a human operator to manually approve or modify the outcome.

This server touches task metadata (via `update_task` and `get_task_details`), team membership (`list_team_members`), and project structure data.

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