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Ashby MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Ashby Candidate, Get Ashby Application, Get Ashby Candidate, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Ashby through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Ashby MCP Server for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Ashby, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Ashby
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Ashby MCP Server

Connect your Ashby account to any AI agent and take full control of your recruiting pipeline and candidate experience through natural conversation.

The Vercel AI SDK gives every Ashby tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Candidate Orchestration — List and manage candidate profiles programmatically, including creating new records and retrieving high-fidelity profile metadata
  • Application Lifecycle Management — Monitor job applications and retrieve detailed status metrics for specific candidates to coordinate your hiring funnel in real-time
  • Interview Intelligence — Access scheduled interviews and retrieve submitted high-fidelity feedback reports to summarize performance and sentiment
  • Job & Department Visibility — Retrieve complete directories of open jobs, departments, and hiring managers to maintain a perfectly coordinated organizational view
  • User & Location Monitoring — Access your internal recruiter directory and physical office locations directly through your agent for instant operational reporting

The Ashby MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Ashby tools available for Vercel AI SDK

When Vercel AI SDK connects to Ashby through Vinkius, your AI agent gets direct access to every tool listed below — spanning applicant-tracking, talent-acquisition, hiring-pipeline, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create ashby candidate on Ashby

Create candidate

get

Get ashby application on Ashby

Get application details

get

Get ashby candidate on Ashby

Get candidate details

get

Get ashby job on Ashby

Get job details

list

List ashby applications on Ashby

List applications

list

List ashby candidates on Ashby

List candidates

list

List ashby feedback on Ashby

List feedback

list

List ashby interviews on Ashby

List interviews

list

List ashby jobs on Ashby

List jobs

list

List ashby users on Ashby

List users

Connect Ashby to Vercel AI SDK via MCP

Follow these steps to wire Ashby into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from Ashby and passes them to the LLM

Why Use Vercel AI SDK with the Ashby MCP Server

Vercel AI SDK provides unique advantages when paired with Ashby through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Ashby integration everywhere

03

Built-in streaming UI primitives let you display Ashby tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Ashby + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Ashby MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Ashby in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Ashby tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Ashby capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Ashby through natural language queries

Example Prompts for Ashby in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Ashby immediately.

01

"List all active candidates in my Ashby recruiting pipeline."

02

"Show the latest interview feedback for candidate ID 'cand_123'."

03

"Create a new candidate profile for 'Jane Smith' (jane@example.com)."

Troubleshooting Ashby MCP Server with Vercel AI SDK

Common issues when connecting Ashby to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Ashby + Vercel AI SDK FAQ

Common questions about integrating Ashby MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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