How to Use the Join MCP in Vercel AI SDK
Build live recruiting dashboards in your AI SDK frontend. Pull JOIN data directly into your UI components without any lag.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Join MCP to Vercel AI SDK
Create your Vinkius account to connect Join 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 candidate monitoring with AI SDK
Feed live applicant updates into your React or Next.js components. Use `list_applications` to trigger UI refreshes as candidates move through your pipeline. Your users see the status change the moment the data hits the client. It removes the need for manual polling or constant page refreshes.
Deep dive into profiles using your AI SDK
Grab specific candidate details for your interface using `get_candidate`. This lets your application display full contact history and job associations immediately. Your UI logic handles the data flow while the MCP Server manages the connection. It keeps your frontend code clean and focused on the user experience.
Filter hiring data in the browser
Expose `list_jobs` and `list_departments` to help your users sort through open roles. Your AI client parses these results to build dynamic filtering menus on the fly. This keeps your application state synchronized with your actual hiring needs. You control exactly what data reaches the end user.
Set up Join 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 Join 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 Join 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 JOIN. 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 Join MCP in Vercel AI SDK
Use it with your favorite AI tools
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Start using the Join MCP today
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