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HighLevel MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes

Built by Vinkius GDPR 11 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect HighLevel through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using HighLevel, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
HighLevel
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* 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 HighLevel MCP Server

Connect your HighLevel (GoHighLevel) account to any AI agent and take full control of your sales pipeline, contact management, and scheduling through natural conversation.

The Vercel AI SDK gives every HighLevel tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Contact Oversight — Perform advanced searches for leads, retrieve full profiles, and create new contact records effortlessly.
  • Sales Pipelines — List pipelines and search for opportunities to monitor your deals and revenue flow.
  • Appointment Management — Access your calendars, check for free slots in real-time, and book appointments directly from the chat.
  • Task Coordination — List and create tasks for specific contacts to ensure follow-ups are never missed.
  • Location Tracking — Retrieve location-specific tags to categorize and filter your data accurately.
  • Unified CRM — Bridge the gap between your marketing and sales activities using the powerful API v2.

The HighLevel MCP Server exposes 11 tools through the Vinkius. Connect it to Vercel AI SDK 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 HighLevel to Vercel AI SDK via MCP

Follow these steps to integrate the HighLevel MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 11 tools from HighLevel and passes them to the LLM

Why Use Vercel AI SDK with the HighLevel MCP Server

Vercel AI SDK provides unique advantages when paired with HighLevel through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same HighLevel integration everywhere

03

Built-in streaming UI primitives let you display HighLevel tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

HighLevel + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the HighLevel MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query HighLevel in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate HighLevel tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed HighLevel capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with HighLevel through natural language queries

HighLevel MCP Tools for Vercel AI SDK (11)

These 11 tools become available when you connect HighLevel to Vercel AI SDK via MCP:

01

create_appointment

Book a new appointment on a calendar

02

create_contact

Pass payload as JSON string in "body_json" (requires firstName, email, or phone). Add a new contact/lead to HighLevel

03

create_contact_task

Assign a new task to a specific contact

04

get_calendar_free_slots

Check availability for a specific calendar

05

get_contact_details

Get detailed information for a specific contact

06

list_calendars

List all calendars available for a location

07

list_contact_tasks

List all tasks assigned to a specific contact

08

list_location_tags

List all custom tags for a location

09

list_pipelines

List sales pipelines for a specific location

10

search_contacts

Pass search criteria as a JSON string in "search_json". Search for contacts in HighLevel

11

search_opportunities

Search for opportunities within a pipeline

Example Prompts for HighLevel in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with HighLevel immediately.

01

"Search for contact 'John Doe' and show his pending tasks."

02

"Find free slots on the 'Sales Consultation' calendar for next Monday."

03

"Show me all opportunities in the 'Product Sales' pipeline."

Troubleshooting HighLevel MCP Server with Vercel AI SDK

Common issues when connecting HighLevel to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

HighLevel + Vercel AI SDK FAQ

Common questions about integrating HighLevel MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect HighLevel to Vercel AI SDK

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.