How to Use the Kylas MCP in Vercel AI SDK
Stream Kylas CRM data directly into your Vercel AI SDK interface for real-time sales visibility.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Kylas MCP to Vercel AI SDK
Create your Vinkius account to connect Kylas 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 lead ingestion for AI SDK
Stop waiting for background syncs to finish. When your user triggers an action in the UI, `create_lead` fires instantly to your Kylas account. Your interface reflects the result as it happens. This keeps your sales pipeline moving without forcing the agent to switch tabs.
Direct pipeline access via MCP Server
Your agent can pull live deal data using `list_deals` without leaving the chat window. It fetches exactly what you need to answer a customer query right now. Everything happens in the stream. Your AI client processes the returned data and updates the UI component immediately.
Automated contact management
Managing thousands of records gets messy fast. Use `list_contacts` to filter your database and find the right lead details in milliseconds. This MCP Server handles the lookup logic for you. You just define the filter and show the output in your React or Next.js view.
Set up Kylas 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 Kylas 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 Kylas 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 Kylas. 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 Kylas MCP in Vercel AI SDK
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Kylas MCP today
We host it, we monitor it, we maintain it. You just paste one token.