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Vinkius

Postmark MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Postmark through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "postmark": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Postmark Agent",
    instructions:
      "You help users interact with Postmark " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Postmark?"
  );
  console.log(result.text);
}

main();
Postmark
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Postmark MCP Server

Connect your Postmark server safely to any AI agent, granting it the ability to dispatch transactional emails, debug delivery failures, and inspect mailing architectures directly via conversational prompts.

Mastra's agent abstraction provides a clean separation between LLM logic and Postmark tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Send Emails & Templates — Command the AI to dispatch text-based emails or trigger rich HTML messages using pre-existing Postmark templates (send_with_template)
  • Inspect Bounces & Logs — Ask why an email failed. The AI can pull exact SMTP traces (get_bounce_logs) to explain spam rejections or DNS timeouts
  • Monitor Delivery Stats — Retrieve precise operational health data, mapping open rates and physical bytes sent across massive volumes
  • Manage Configurations & Templates — List active webhooks spanning your routing, edit server names, or safely clean up legacy template layouts

The Postmark MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Postmark to Mastra AI via MCP

Follow these steps to integrate the Postmark MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Postmark via MCP

Why Use Mastra AI with the Postmark MCP Server

Mastra AI provides unique advantages when paired with Postmark through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Postmark without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Postmark tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Postmark + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Postmark MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Postmark, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Postmark as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Postmark on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Postmark tools alongside other MCP servers

Postmark MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Postmark to Mastra AI via MCP:

01

delete_template

Delete an email template

02

get_bounce_logs

Get raw SMTP logs for a bounce

03

get_delivery_stats

Get delivery metrics for the server

04

get_server_config

Get Postmark server configuration

05

list_bounces

List recent email bounces

06

list_spam_complaints

List recent spam complaints

07

list_templates

List all email templates

08

send_email

Send a plain text or HTML email

09

send_with_template

Send an email using a template

10

update_server_config

Update server name

Example Prompts for Postmark in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Postmark immediately.

01

"Can you check if we had any hard bounces yesterday, and tell me why?"

02

"List all active Postmark templates, then delete the one clearly named 'Legacy Promo'."

03

"Send a welcome email through Postmark using template ID `10101` to `user@example.com`."

Troubleshooting Postmark MCP Server with Mastra AI

Common issues when connecting Postmark to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Postmark + Mastra AI FAQ

Common questions about integrating Postmark MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Postmark to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.