How to Use the Crelate Talent CRM MCP in Vercel AI SDK

Q: How do I stream Crelate Talent CRM contact lists using Vercel AI SDK?

Call listcontacts within the SDK's tool parameter. The SDK handles the streaming transport from the MCP Server, letting you map candidate names directly to your UI components as the chunks arrive.

Q: How do I display company profiles in my React app?

Your agent uses listcompanies to fetch the client records. You can then stream these records into your React components, letting recruiters browse client company details alongside their active job orders.

Get your Crelate Talent CRM candidate pipelines and job data rendering live in your Next.js frontend with Vercel AI SDK.

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Connect Crelate Talent CRM MCP to Vercel AI SDK

Create your Vinkius account to connect Crelate Talent CRM 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.

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Setup Crelate Talent CRM with Vercel AI SDK

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Live Candidate Search with Vercel AI SDK

Nobody wants to watch a blank screen while searching for talent. When you hook this MCP Server up to your frontend, your agent pulls matching profiles the second they hit the database. It hits `search_contacts_by_name` to grab matching candidates and streams them straight into your UI components. Because the SDK supports real-time streaming, you can render custom cards for each person as the data chunks land. Your agent pipes the output from `get_contact_details` directly into your React state, meaning zero loading spinners for your recruiters.

Instant Recruiting Activity Feeds

Building a dashboard that actually keeps up with a busy recruiting team is tough. This integration lets you stream recent calls and emails straight from Crelate to your web app. Your agent queries `list_recent_activities` to grab the latest updates and pushes them to the feed. You can pair this with `get_contact_notes` to show the full context of a candidate's history. The Vercel AI SDK handles the raw stream, formatting internal recruiter notes on the fly so your team sees updates without hitting refresh.

Dynamic Job Order Mapping

Matching roles to candidates shouldn't require hopping between tabs. Your agent pulls open positions using `list_jobs` and matches them against active client accounts. The MCP Server handles the data transfer directly to your custom React tables. When a recruiter needs to drill down into a specific opening, the agent runs `get_job_details` to populate the side panel. It keeps your interface fast because the data loads incrementally instead of blocking the main thread.

Setup guide

Set up Crelate Talent CRM 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 Crelate Talent CRM 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 Crelate Talent CRM transactions",
});

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

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

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Common questions about Crelate Talent CRM MCP in Vercel AI SDK

Call `list_contacts` within the SDK's tool parameter. The SDK handles the streaming transport from the MCP Server, letting you map candidate names directly to your UI components as the chunks arrive.

Yes, you can. Your UI captures form inputs or raw text, and your agent will execute `create_contact` to save the new profile. The SDK handles the execution lifecycle and returns the newly created record ID to your frontend.

Yes, the MCP Server connects via lightweight HTTP transport. You can import `@ai-sdk/mcp` inside your Next.js Edge Routes and query `list_crelate_users` or jobs without cold-start delays.

Your agent uses `list_companies` to fetch the client records. You can then stream these records into your React components, letting recruiters browse client company details alongside their active job orders.

All Crelate data, including sensitive recruiter notes and candidate phone numbers, remains inside the V8 sandbox. The MCP Server acts as a zero-trust bridge, passing credentials directly through your Vercel environment variables without storing them on external servers.

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