How to Use the Digify MCP in Mastra AI

Q: How do I register Digify tools inside a Mastra AI agent?

You initialize the MCPClient and pass the server URL. Mastra reads the tools via listTools and registers them directly to your agent's runtime.

Q: How do I require human approval before Mastra AI modifies Digify files?

Use Mastra's requireToolApproval flag on your agent. This pauses the workflow whenever a file-altering tool is called, waiting for manual confirmation.

Build resilient, multi-step document workflows and automated data room audits with Mastra AI.

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Connect Digify MCP to Mastra AI

Create your Vinkius account to connect Digify 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 Digify with Mastra AI

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Automate file expiration loops using Mastra AI

The `list_expired_secure_files` tool identifies every document in your Digify account that has passed its expiration date. Mastra AI uses this list to trigger structured workflows, ensuring stale permissions are cleaned up without manual intervention. If a cleanup step fails, Mastra's built-in retry engine schedules another attempt with exponential backoff. This keeps your MCP workflow reliable even under heavy load.

Build self-healing data room audits with this MCP Server

The `get_file_access_statistics` tool retrieves detailed viewer logs, including who opened your files and how long they looked. This MCP Server gives your Mastra agents the forensic data they need to flag suspicious activity automatically. You can write a simple workflow that checks these stats daily. If a document receives unexpected traffic, the Mastra workflow branches immediately to alert your security team.

Manage document recipients with conditional workflow branching

The `list_file_recipients` tool pulls the exact list of users who have active access permissions to a file. Mastra AI evaluates this array against your internal database to verify that only authorized stakeholders are on the list. When unauthorized emails show up, the workflow executes a custom branch to revoke access. This gives you absolute control over document distribution via our MCP setup.

Setup guide

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

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

const result = await agent.generate(
  "List recent Digify 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 Digify. 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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Common questions about Digify MCP in Mastra AI

You initialize the `MCPClient` and pass the server URL. Mastra reads the tools via `listTools` and registers them directly to your agent's runtime.

Yes, Mastra has a built-in workflow engine that handles retries natively. If a request to fetch data room details fails, the system retries with exponential backoff.

Use Mastra's `requireToolApproval` flag on your agent. This pauses the workflow whenever a file-altering tool is called, waiting for manual confirmation.

Yes, the server supports both Streamable HTTP and SSE. Mastra auto-detects the transport type when you connect the client.

The server runs in an ephemeral, zero-trust V8 sandbox. Your document access statistics and recipient lists are processed in-memory and never written to persistent storage.

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