How to Use the Box MCP in Mastra AI

Q: Can I use Box data to branch logic in Mastra AI?

Yes, use the output from getfolderinfo to decide which branch your agent takes next. It allows for precise control over your document handling.

Build automated file management workflows in Mastra AI using Box tools.

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Connect Box MCP to Mastra AI

Create your Vinkius account to connect Box 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 Box with Mastra AI

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Automate Box tasks with Mastra AI

Define agent workflows that trigger `create_folder` when specific conditions are met. You can chain this with other logic to handle document organization automatically. This MCP Server fits right into your Mastra agent definitions. It handles the API handshake so your code stays clean.

Mastra AI agents finding Box content

Use `search_content` to let your agents locate files based on complex criteria. You can script retries for failed searches directly within your Mastra workflow. Get granular details on any item using `get_file_info`. Your agents will know exactly what the file is before they decide to move or process it.

Control Box access through Mastra AI

Audit folder permissions by calling `get_folder_collaborations` within your agent logic. If an unauthorized user appears, your workflow can flag it immediately. Pull a list of all enterprise users with `list_users` to cross-reference access lists. Your Mastra AI agent manages these security checks as part of its routine.

Setup guide

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

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

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

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Common questions about Box MCP in Mastra AI

Import the Box MCP Server into your Mastra agent configuration. You then spread the server tools into the agent definition to make them available for your workflow steps.

You can configure retry logic in Mastra to handle transient network issues. The Box MCP Server supports these calls just like any local function.

Yes, use the output from get_folder_info to decide which branch your agent takes next. It allows for precise control over your document handling.

Vinkius provides a secure, ephemeral tunnel for your agent. No data is stored on our side; we just pass the requests to the Box API.

The server only touches the file metadata and search indices you query. Sensitive documents remain within your Box instance under your control.

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