How to Use the Hexomatic MCP in Mastra AI

Q: How are scraping recipes managed in Mastra AI?

You use listscrapingrecipes to get a list of all your saved configurations. Your agent then selects the ID and passes it to the run tool.

Build resilient automation pipelines in Mastra AI. Trigger workflows, monitor logs, and handle scraping tasks with native TypeScript agents.

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Connect Hexomatic MCP to Mastra AI

Create your Vinkius account to connect Hexomatic 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 Hexomatic with Mastra AI

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Automated workflow branching in Mastra AI

Create agents that decide when to run specific scrapers. Your Mastra AI agent uses `list_scraping_recipes` to identify the right tool for the job, then executes it with `run_workflow`. This allows for conditional logic based on real-world web data. If a scrape returns empty results, your agent can trigger a follow-up action or log an error using `get_execution_logs`.

Full lifecycle control for Mastra AI

Manage your entire automation suite without manual intervention. Use `list_automations` to see what is active and `update_workflow_status` to toggle jobs based on your agent's assessment of current system needs. This keeps your infrastructure lean. You only pay for the automation credits you actually use, verified by calls to `get_account_usage`.

Reliable data ingestion for Mastra AI

Your agents can pull clean data from any site using established recipes. Call `get_workflow_details` to verify configuration settings before letting the agent loose on a new task. This prevents runtime surprises. By checking the configuration first, your agent ensures that every `run_workflow` call is hitting the correct target with the right parameters.

Setup guide

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

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

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

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Common questions about Hexomatic MCP in Mastra AI

Install the MCP client package and point it at the server URL. Once connected, your Mastra AI agents will auto-discover the tools and be ready to run.

Yes. You can build a retry loop in your agent logic that checks `get_execution_logs` after a run. If it fails, the agent can try again or notify your team.

It does. Use the requireToolApproval setting to force your Mastra AI agent to pause. This lets you review the scrape parameters before the agent executes the job.

You use `list_scraping_recipes` to get a list of all your saved configurations. Your agent then selects the ID and passes it to the run tool.

The server operates on an ephemeral basis with no persistent storage of your scraping results. Only the specific job logs and execution metadata you request are ever handled by the agent.

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