Loops MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Loops through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
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: {
"loops": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Loops Agent",
instructions:
"You help users interact with Loops " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Loops?"
);
console.log(result.text);
}
main();
* 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 Loops MCP Server
Loops is a modern email marketing and transactional email platform designed for startups and growing businesses. It provides powerful automation for email journeys, audience segmentation, contact management, and detailed analytics. This MCP server enables AI agents to manage contacts, mailing lists, trigger events for automated journeys, send transactional emails, and check suppression statuses — all through natural language commands.
Mastra's agent abstraction provides a clean separation between LLM logic and Loops 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.
Key capabilities:
- Search, create, update, and delete contacts
- Manage mailing lists
- Trigger email journeys with events
- Send transactional emails programmatically
- Check email suppression status
- View sent transactional email history
The Loops 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 Loops to Mastra AI via MCP
Follow these steps to integrate the Loops MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Loops via MCP
Why Use Mastra AI with the Loops MCP Server
Mastra AI provides unique advantages when paired with Loops through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Loops without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Loops tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Loops + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Loops MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Loops, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Loops as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Loops on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Loops tools alongside other MCP servers
Loops MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Loops to Mastra AI via MCP:
create_contact
Requires an email address. Optionally accepts firstName, lastName, and userGroup. Create a new contact in Loops
delete_contact
This action cannot be undone. Delete a contact from Loops by ID
find_contact
Returns the contact details if found. Find a contact in Loops by email address
get_contact_suppression
Suppressed emails will not receive emails. Returns the suppression status for the given email. Check if an email address is suppressed in Loops
list_mailing_lists
Use this to discover available lists for subscribing contacts. List all mailing lists in Loops
list_transactional_emails
Optionally accepts a limit parameter to control the number of results returned. List recently sent transactional emails from Loops
send_event
Requires an eventName. Optionally accepts email and/or userId to identify the recipient. Send an event to trigger email journeys in Loops
send_transactional_email
Requires the transactionalId. Optionally accepts email and dataVariables (as JSON string) for template variables. Send a transactional email via Loops
test_api_key
Returns success/failure status. Test if the Loops API key is valid and working
update_contact
Requires the contact ID. Accepts any fields to update such as firstName, lastName, email, userGroup, etc. Update an existing contact in Loops by ID
Example Prompts for Loops in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Loops immediately.
"Find the contact with email user@example.com in Loops"
"Create a new contact in Loops with email newuser@example.com, first name John, and last name Doe"
"List all mailing lists in my Loops account"
"Send a transactional email with template txn_123 to customer@example.com"
Troubleshooting Loops MCP Server with Mastra AI
Common issues when connecting Loops to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpLoops + Mastra AI FAQ
Common questions about integrating Loops MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Loops with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Loops to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.