How to Use the Filemail MCP in Mastra AI

Q: Is it easy to monitor Filemail transfers in Mastra AI?

You can set up a periodic task to call listsenttransfers. The agent will report back on any transfers that require your attention.

Build resilient file transfer workflows in Mastra AI with automated retries and conditional execution for Filemail.

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…and any MCP-compatible client

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Connect Filemail MCP to Mastra AI

Create your Vinkius account to connect Filemail 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 Filemail with Mastra AI

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Workflow automation for Filemail

Create multi-step sequences that fire `initialize_transfer` based on your business logic. If a transfer stalls, Mastra AI triggers a retry automatically. This keeps your operations moving without manual oversight. You define the conditions for success, and the server executes the required steps.

Conditional Filemail transfer logic

Branch your workflow based on the output of `get_transfer_details`. If a file isn't picked up, route the agent to send a reminder to the contact. This creates a self-healing pipeline for your data. The agent monitors the status and takes action only when the defined criteria are met.

Centralized Filemail contact management

Use `list_contacts` to feed your agent the correct recipient information for every transfer. The agent pulls the right data before starting any task. It eliminates errors caused by manual input. Your agents always operate with current contact records pulled directly from your account.

Setup guide

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

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

const result = await agent.generate(
  "List recent Filemail 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 Filemail. 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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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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 Filemail MCP in Mastra AI

Include the tools in your agent definition. You can then chain them within a workflow to handle the full lifecycle from initiation to completion.

Yes. You can configure the workflow engine to catch errors from the tools and attempt a retry with an exponential backoff strategy.

You can set up a periodic task to call `list_sent_transfers`. The agent will report back on any transfers that require your attention.

Use requireToolApproval for sensitive actions. The agent will pause before calling `delete_transfer` until you provide manual confirmation.

The server uses ephemeral connections for all requests. Your transfer logs and contact data remain strictly within your controlled environment.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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