How to Use the LeadSquared MCP in Vercel AI SDK

Q: How do I install the LeadSquared MCP Server with Vercel AI SDK?

Install the required packages with npm install ai @ai-sdk/mcp. Then, configure createMCPClient pointing to your HTTP endpoint and pass the tools to your text generation function.

Feed real-time LeadSquared pipeline updates directly to your frontend using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LeadSquared MCP to Vercel AI SDK

Create your Vinkius account to connect LeadSquared 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.

GDPR Free for Subscribers

Setup LeadSquared with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Render live LeadSquared search results in your UI

Your users don't want to stare at a spinner while your app fetches CRM profiles. By passing this LeadSquared MCP Server to `streamText`, your interface renders lead data as the model retrieves it. The model calls `search_leads` and instantly populates React components with matching names, emails, and phone numbers. This approach cuts down perceived latency to zero. If your user asks for a quick profile check, the SDK invokes `get_lead_details` to stream the specific fields directly into your Next.js page layout.

Update pipeline contacts on the Edge

Running your lead capture forms inside Edge Functions prevents slow response times. When a user submits a form, your Vercel AI SDK setup calls `create_or_update_lead` to match the record by email or phone. It executes in milliseconds close to the user, keeping your LeadSquared database clean without slowing down the browser. If the contact already exists, the server handles the matching logic under the hood. You get a clean JSON response that feeds right back into your streaming UI component.

Log sales activities using Vercel AI SDK tools

Tracking sales interactions should happen right when they occur. This MCP Server exposes `create_prospect_activity` to register calls, meetings, or emails directly from your customer-facing chat interface. When a chat conversation signals a hot lead, the model calls `create_opportunity` to log a deal. The Vercel AI SDK streams this status change live, so your team sees the updated sales pipeline immediately.

Setup guide

Set up LeadSquared MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with 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 LeadSquared tools. Pass them directly to generateText() or streamText() — 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.

index.ts

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 LeadSquared transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadSquared. 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.

Connect LeadSquared now

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 LeadSquared MCP in Vercel AI SDK

Install the required packages with `npm install ai @ai-sdk/mcp`. Then, configure `createMCPClient` pointing to your HTTP endpoint and pass the tools to your text generation function.

Yes, you can fetch and display activity histories in your frontend. Use `list_lead_activities` inside your stream logic to render a timeline of sales touches directly on the user's dashboard.

You handle authentication by passing an OAuth token or API key through the `authProvider` in your client setup. This keeps your credentials secure outside the client-side code.

The SDK catches the error inside the tool execution block and returns a clean error state. Your UI can catch this to show a fallback message instead of breaking the entire page.

Your lead profiles, opportunity records, and activity logs are processed inside an ephemeral, zero-trust V8 sandbox. No database records or contact emails are stored permanently on Vinkius servers.

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