How to Use the Autobound MCP in Mastra AI

Q: How do I list campaigns in Mastra AI?

Call listcampaigns within your agent step. The framework fetches the data, and your agent can parse the results to decide on the next outreach action.

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Connect Autobound MCP to Mastra AI

Create your Vinkius account to connect Autobound 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 Autobound with Mastra AI

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Perplexity

Mastra AI agent orchestration

Integrate sales research into your agent workflows using `enrich_contact`. You can build a chain where the agent gathers data, evaluates the prospect, and decides whether to move to the next step. If a step fails, Mastra AI handles the retry logic automatically. You keep your workflow logic robust without writing extra error handling code.

Automated outreach with Mastra AI

Execute full sales sequences by chaining `list_prospects` and `execute_campaign`. You set the conditions for when an agent should trigger a message, ensuring only qualified leads get contacted. The system handles the heavy lifting of research via `get_signal` before the agent commits to an action. It keeps your sales pipeline moving while you focus on high-level strategy.

Conditional sales logic for agents

Use `search_signals` to filter your lead list inside your Mastra AI agent. If the agent finds a trigger event, it can automatically generate a message using `generate_email`. You control the flow with explicit tool approvals. This keeps a human in the loop before any outgoing mail hits a prospect's inbox.

Setup guide

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

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

const result = await agent.generate(
  "List recent Autobound transactions"
);
console.log(result.text);

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Common questions about Autobound MCP in Mastra AI

Add the server URL to your Mastra AI configuration file and spread the tools into your Agent definition. This makes every Autobound function available as a native agent tool.

Yes, you can enable requireToolApproval in your Mastra AI setup. This forces the agent to pause until you confirm the generated sales email.

Mastra AI manages the retry logic for you. If the connection to the MCP server drops, the framework handles the backoff and reconnection automatically.

Call list_campaigns within your agent step. The framework fetches the data, and your agent can parse the results to decide on the next outreach action.

We use scoped tokens to isolate your data requests. The contact profiles remain private to your specific Mastra AI instance and are never exposed to other users.

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