How to Use the Recruit CRM MCP in Vercel AI SDK

Q: How do I connect the Recruit CRM MCP Server to Vercel AI SDK?

Install @ai-sdk/mcp and initialize the client using createMCPClient with your Vinkius HTTP endpoint. Call mcpClient.tools() and pass the output directly into generateText or streamText.

Q: How does Recruit CRM handle OAuth with Vercel AI SDK?

You configure the authProvider option inside your createMCPClient setup. This passes the user's specific credentials securely to the Vinkius proxy, ensuring they can only access their authorized workspace data.

Feed live Recruit CRM candidate pipelines directly into your Next.js UI with Vercel AI SDK.

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Connect Recruit CRM MCP to Vercel AI SDK

Create your Vinkius account to connect Recruit 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 Recruit CRM with Vercel AI SDK

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Render live candidate pipelines in your UI

`list_candidates` pulls active applicants from your database and feeds them directly to your front-end components. Your AI client calls this tool to retrieve records, and the Vercel AI SDK streams the raw JSON payload straight to your React state. You don't have to write custom API endpoints or wait for a full page reload. By passing `mcpClient.tools()` into `streamText`, the data renders progressively as it arrives from the Recruit CRM server.

Live job creation with Vercel AI SDK

`create_job` writes new job openings to your recruitment board instantly when your user commands the interface. The SDK handles the execution phase, ensuring that the parameters match your schema requirements before sending the payload. Because this MCP Server runs in an isolated V8 sandbox on Vinkius, latency stays low enough for edge deployment. Your users see the newly created job details pop up in their dashboard without staring at a blank screen.

Instant candidate vetting in the browser

`get_candidate_details` retrieves full resumes, history, and contact information for individual applicants. Your agent invokes this tool to pull deep background data while the user drafts an outreach email in the adjacent UI panel. The SDK manages the transport layer, feeding the raw candidate data into your LLM prompt context window. This lets your application generate highly personalized messages without manual copy-pasting.

Setup guide

Set up Recruit 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 Recruit 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 Recruit CRM 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 Recruit CRM. 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 Recruit CRM MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize the client using `createMCPClient` with your Vinkius HTTP endpoint. Call `mcpClient.tools()` and pass the output directly into `generateText` or `streamText`.

Yes, this setup works perfectly in edge environments because the Vinkius hosting infrastructure relies on lightweight, fast-booting V8 isolates. Your serverless functions won't hit cold start bottlenecks when querying candidate databases.

You configure the `authProvider` option inside your `createMCPClient` setup. This passes the user's specific credentials securely to the Vinkius proxy, ensuring they can only access their authorized workspace data.

Yes, the SDK dynamically imports the entire toolset exposed by the server. Your agent can run any action from candidate creation to company lookups right out of the box.

All applicant profiles, resumes, and contact details are processed inside ephemeral V8 sandboxes. Vinkius never stores your recruitment data, acting purely as a zero-trust proxy between your Next.js application and the CRM API.

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