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Vinkius

Mav MCP Server for Mastra AI 0 tools — connect in under 2 minutes

Built by Vinkius GDPR SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mav 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: {
      "mav": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Mav Agent",
    instructions:
      "You help users interact with Mav " +
      "using 0 tools.",
    model: openai("gpt-4o"),
    tools,
  });

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

main();
Mav
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 Mav MCP Server

Connect your Mav account to any AI agent and take full control of your conversational SMS automation through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Mav tool infrastructure. Connect 0 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

  • Playbook Management — List and inspect AI-driven conversational playbooks
  • Lead Qualification — Trigger automated SMS conversations to qualify new leads instantly
  • Activity Monitoring — Track real-time events and outcomes from ongoing conversations
  • Lead Management — Retrieve detailed metadata and status for leads in your pipeline

The Mav MCP Server exposes 0 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 Mav to Mastra AI via MCP

Follow these steps to integrate the Mav 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 0 tools from Mav via MCP

Why Use Mastra AI with the Mav MCP Server

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

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mav 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 Mav 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

Mav + Mastra AI Use Cases

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

01

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

02

SaaS integrations: embed Mav 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 Mav on a cron and store results in your database automatically

04

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

Example Prompts for Mav in Mastra AI

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

01

"List all my Mav playbooks."

02

"Trigger the 'Lead Qual' playbook for +1234567890."

03

"Show recent outcomes for lead ID 9876."

Troubleshooting Mav MCP Server with Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

Mav + Mastra AI FAQ

Common questions about integrating Mav 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 Mav to Mastra AI

Get your token, paste the configuration, and start using 0 tools in under 2 minutes. No API key management needed.