How to Use the Manatal MCP in Vercel AI SDK

Q: How do I stream Manatal candidate lists using the Vercel AI SDK?

You initialize the client using createMCPClient with your Vinkius endpoint. Then, pass the tools returned by listcandidates directly to streamText to render Manatal candidate profiles in your Vercel AI SDK frontend.

Q: Can I filter jobs in Vercel AI SDK with this MCP Server?

Yes. Your agent calls listjobs to get all active roles, then filters them dynamically before streaming the structured Manatal results to your Vercel AI SDK React components.

Q: Does this MCP Server require custom parsers for the ATS payloads?

No. The server outputs clean JSON schemas for tools like getorganization and listdepartments, which the Vercel AI SDK maps directly to your UI components without any extra code.

Build real-time ATS dashboards that stream Manatal candidate data directly into your React app 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 Manatal MCP to Vercel AI SDK

Create your Vinkius account to connect Manatal 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 Manatal with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Stream active job listings to Next.js UI

The `list_jobs` tool pulls active openings from your Manatal ATS so your Vercel AI SDK client can render them live on your custom careers page. You don't have to wait for a slow backend fetch because the Vercel AI SDK streams the raw JSON payload directly into your React components as it arrives from the Manatal API. You can also call `get_job` to instantly fetch specific requirements and salary ranges for a selected Manatal role inside your Vercel AI SDK app. This setup removes loading spinners entirely. Your users don't face lag while your Vercel AI SDK agent drafts personalized application tips for that specific Manatal opening.

Render candidate profiles with Vercel AI SDK

The `get_candidate` tool fetches detailed recruiter notes, resumes, and contact info directly from your Manatal database. Your Vercel AI SDK app parses this data instantly, passing it to the frontend to stream formatted Manatal candidate summaries right into your internal review dashboard. When screening large batches, the `list_candidates` tool lets your Vercel AI SDK agent scan hundreds of Manatal profiles in seconds. The UI updates in real-time as the Vercel AI SDK agent flags matches, meaning your hiring team sees top talent pop up on screen without manual page refreshes.

Build live application trackers via MCP Server

The `list_applications` tool pulls the latest submission statuses from your Manatal pipelines to feed your real-time dashboard. By connecting this MCP Server to your Vercel AI SDK setup, you feed raw application pipelines straight to your frontend for instant analysis. Users can drill down into specific files by invoking `get_application` to check feedback loops or bottlenecks in Manatal. The Vercel AI SDK streaming UI shows the exact stage of every applicant the moment the agent retrieves it from the Manatal API, making manual tracking spreadsheets obsolete.

Setup guide

Set up Manatal 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 Manatal 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 Manatal 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 Manatal. 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 Manatal 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 Manatal MCP in Vercel AI SDK

You initialize the client using `createMCPClient` with your Vinkius endpoint. Then, pass the tools returned by `list_candidates` directly to `streamText` to render Manatal candidate profiles in your Vercel AI SDK frontend.

Yes. Your agent calls `list_jobs` to get all active roles, then filters them dynamically before streaming the structured Manatal results to your Vercel AI SDK React components.

The Vercel AI SDK handles the streaming connection, but you should run your queries inside Edge Functions. This keeps your API keys secure while fetching Manatal data via `get_candidate` and `list_applications`.

No. The server outputs clean JSON schemas for tools like `get_organization` and `list_departments`, which the Vercel AI SDK maps directly to your UI components without any extra code.

Yes. Vinkius runs the server in an isolated sandbox, meaning candidate contact details and application histories fetched via `get_candidate` never touch external logs or persistent storage.

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