How to Use the HighLevel MCP in Mastra AI

Q: How to search HighLevel data within a Mastra AI workflow?

You map the searchcontacts tool to your agent's definition. The workflow engine then passes your query criteria as a JSON string to the server.

Q: Can Mastra AI manage HighLevel appointments?

It manages them using the createappointment tool. You can build a workflow that checks availability first, then books the slot.

Build resilient sales workflows in Mastra AI. Automate complex HighLevel pipelines with built-in retry logic and error handling.

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Connect HighLevel MCP to Mastra AI

Create your Vinkius account to connect HighLevel 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 HighLevel with Mastra AI

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Perplexity

Branching CRM logic for Mastra AI

Construct workflows that use `search_opportunities` to decide the next step. If a lead exists, your agent can branch to `create_contact_task` instead of creating a duplicate. This prevents data bloat. You define the logic once and let the engine handle the execution steps.

HighLevel appointment orchestration

Chain `list_calendars` and `get_calendar_free_slots` to find the perfect time. The agent then executes `create_appointment` to finalize the booking. Failures are handled by your workflow engine. If the API is busy, the agent retries the operation automatically.

Pipeline automation with MCP Server

Monitor your sales funnel by calling `list_pipelines`. Your agents can move leads or assign tasks based on real-time CRM status changes. It turns your static pipeline into a living system. Every action is logged and tracked by the agent framework.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HighLevel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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place for every integration

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Common questions about HighLevel MCP in Mastra AI

You map the `search_contacts` tool to your agent's definition. The workflow engine then passes your query criteria as a JSON string to the server.

It manages them using the `create_appointment` tool. You can build a workflow that checks availability first, then books the slot.

The server reports errors back to your agent. You can then configure your workflow to retry or alert an admin.

Your CRM records are isolated. Only your authenticated Mastra AI agents can trigger tools to read or write your contact information.

It reads and writes contact records, including email addresses and phone numbers. Security is enforced through strict token-based access controls.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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