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How to Use the Twist MCP in Mastra AI

Build reliable, fault-tolerant workflows for Twists using Mastra AI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Twist MCP to Mastra AI

Create your Vinkius account to connect Twist 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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Gathering Context with the MCP Server

Start your workflow by calling `list_workspaces` to identify all potential team boundaries. You can then run `list_channels` against a specific workspace ID, collecting all necessary endpoints. This foundational discovery step ensures that when your Mastra AI agent tries to act, it knows exactly which channels exist.

Modifying Records in Complex Workflows

When a workflow needs to correct itself or update old data, use `update_direct_message` with the specific message ID. This modifies the content of an already sent private message. Alternatively, if you need to adjust a discussion's focus, `update_thread` lets your agent change the title or body of an existing thread.

Executing Actions with Mastra AI

The `send_direct_message` tool is key for executing private communications as a step in a workflow. You provide the conversation ID and the required content. If your process requires an immediate follow-up, you can use `create_comment` to post a reply directly into an active thread.

Setup guide

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

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

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

It calls `list_channels`, passing in the appropriate workspace ID. This gives your agent the full directory structure needed to proceed with its steps.
Yes, you can modify private communications using `update_direct_message` or adjust a discussion's focus via `update_thread`. These are critical for error recovery workflows.
You use `create_thread` for an initial, structured discussion, or `send_direct_message` if it's a private message. The tool handles both initiation points.
Yes. You call `list_workspaces` to identify all bounded Twist Workspaces that your workflow needs to manage or monitor.
The server manages communication content, including message bodies, thread titles, and channel metadata within Twist workspaces. This is crucial for reliable workflow execution.

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