How to Use the HighLevel MCP in Vercel AI SDK
Stream CRM data directly into your Vercel AI SDK frontends. Build live interfaces that show HighLevel contact updates as they happen.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HighLevel MCP to Vercel AI SDK
Create your Vinkius account to connect HighLevel to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Real-time contact management in AI SDK
Trigger `create_contact` or `search_contacts` directly from your Edge Functions. The data flows into your UI components without waiting for backend round-trips. Your users see the CRM state change the second the agent acts. It eliminates the need for clunky loading states when managing leads.
Dynamic calendar booking for HighLevel
Use `get_calendar_free_slots` to pull availability into your app's scheduling view. Your AI client handles the selection logic before calling `create_appointment`. This keeps your booking flow tight and responsive. No more manual syncs between your frontend and the CRM backend.
Automated task tracking with MCP Server
Connect your MCP Server to track sales activity via `list_contact_tasks`. You can display active pipeline items directly in your dashboard. Updating records is just as simple with `create_contact_task`. Your users stay in the flow without jumping between browser tabs.
Set up HighLevel MCP in Vercel AI SDK
Prerequisites
- Node.js 18+ and a TypeScript project
-
ai+@modelcontextprotocol/sdkpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install ai @modelcontextprotocol/sdkplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Create the Streamable HTTP transport
Use
StreamableHTTPClientTransportwith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and use tools
Call
mcpClient.tools()to auto-discover all HighLevel tools. Pass them directly togenerateText()orstreamText()— no manual schema definitions needed. - 4
Works with any model provider
Swap
openai("gpt-4o")for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const transport = new StreamableHTTPClientTransport(
new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);
const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "List recent HighLevel transactions",
});
console.log(text);
await mcpClient.close(); 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about HighLevel MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the HighLevel MCP today
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