How to Use the Ashby MCP in Vercel AI SDK

Q: Can I build a custom hiring dashboard with Ashby and the Vercel AI SDK?

Yes, that's a great use case. You can use tools like listashbyjobs and listashbyapplications to stream data directly into your React or Next.js components, creating a live view of your recruiting pipeline.

Build React UIs that stream Ashby recruiting data live, right into your components, using the Vercel AI SDK.

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…and any MCP-compatible client

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Connect Ashby MCP to Vercel AI SDK

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

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Stream Candidate Data Directly

This toolset lets you pull Ashby data straight into your UI components. When your agent calls `get_ashby_candidate`, the details appear character-by-character in your React app. No spinners needed. Imagine building a custom hiring dashboard. With one call to `list_ashby_jobs` or `list_ashby_applications`, the Vercel AI SDK streams the data, populating your tables in real-time. It's a much better experience than waiting for a full data load.

Create Records from a Chat Window

Let your users add new candidates to Ashby from a simple chat interface. Your agent, running in an Edge Function, can take conversational input and use `create_ashby_candidate` to add them to your pipeline. The form is the chat window. This means you're not just reading data; you're building interactive recruiting tools. This MCP Server gives your front-end application the backend logic to modify your Ashby account safely.

Live Interview and Feedback Feeds

Build a component that shows the latest interview schedules or feedback for a candidate. The `list_ashby_interviews` and `list_ashby_feedback` tools are perfect for this. The data streams in, so your view is always current. Because the Vercel AI SDK is designed for this, you don't have to write complex state management for loading states. The data just flows from the MCP Server, through your agent, and into the UI.

Setup guide

Set up Ashby 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 Ashby 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 Ashby 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 Ashby. 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.

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Real-time monitoring

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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 Ashby MCP in Vercel AI SDK

First, install the AI SDK and MCP packages from npm. Then, use `createMCPClient` to connect to your Vinkius endpoint for Ashby. You can pass the resulting tools directly to the `generateText` or `streamText` functions.

Yes, that's a great use case. You can use tools like `list_ashby_jobs` and `list_ashby_applications` to stream data directly into your React or Next.js components, creating a live view of your recruiting pipeline.

Absolutely. The Vercel AI SDK and this MCP connection are fully compatible with Edge Functions. You can build serverless AI agents that fetch and process Ashby data with very low latency.

You can access core recruiting objects. Your agent can list and get details for jobs, candidates, applications, interviews, and user accounts. It can also create new candidates in Ashby.

It only touches the data needed for the tool you call, like candidate names or job descriptions. All connections are over HTTPS, and your Vinkius token handles authentication. The server itself is ephemeral, meaning no data is stored after your request finishes.

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