LeadConnector MCP Server for Vercel AI SDK 3 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LeadConnector through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 LeadConnector, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 LeadConnector MCP Server
Unleash the full potential of your LeadConnector (GoHighLevel) CRM straight from any conversational AI window. Rather than navigating through complex sub-account layers manually looking for a prospect, just ask an AI agent to fetch them instantly.
The Vercel AI SDK gives every LeadConnector tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 3 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 Operations — Dive deep into unified contact records, pull full custom fields natively, and extract the latest interaction status securely without clunky visual menus
- Opportunity Management — Map leads across active pipelines checking stages explicitly, querying won/lost elements seamlessly to generate live sales reports
- Calendar Sync — Instantly pull booking availabilities or fetch current appointments to cross-reference workflows dynamically seamlessly with external team members
The LeadConnector MCP Server exposes 3 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 LeadConnector to Vercel AI SDK via MCP
Follow these steps to integrate the LeadConnector MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 3 tools from LeadConnector and passes them to the LLM
Why Use Vercel AI SDK with the LeadConnector MCP Server
Vercel AI SDK provides unique advantages when paired with LeadConnector through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LeadConnector integration everywhere
Built-in streaming UI primitives let you display LeadConnector tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
LeadConnector + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LeadConnector MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LeadConnector in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LeadConnector tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LeadConnector capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LeadConnector through natural language queries
LeadConnector MCP Tools for Vercel AI SDK (3)
These 3 tools become available when you connect LeadConnector to Vercel AI SDK via MCP:
list_appointments
List calendar appointments
list_contacts
List contacts in LeadConnector
list_opportunities
List opportunities across pipelines
Example Prompts for LeadConnector in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with LeadConnector immediately.
"Look up an active contact attached strictly to the numerical cell '5551239988' on my base account organically purely unhindered natively."
"Enumerate the most recently inserted opportunities dropped along the primary standard pipeline without fail cleanly purely fast securely unhindered effortlessly statically."
"List standard appointments attached directly to my specific agent calendar array without disruption securely organically freely properly seamlessly quickly purely flawlessly cleanly."
Troubleshooting LeadConnector MCP Server with Vercel AI SDK
Common issues when connecting LeadConnector to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLeadConnector + Vercel AI SDK FAQ
Common questions about integrating LeadConnector MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect LeadConnector with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LeadConnector to Vercel AI SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.