Greenhouse MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Greenhouse through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
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 Greenhouse, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Greenhouse MCP Server
Connect your Greenhouse Recruiting account to any AI agent and take control of your talent acquisition pipeline through natural conversation.
The Vercel AI SDK gives every Greenhouse tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Oversight — List all candidates in your system and retrieve specific profile details natively
- Pipeline Tracking — Monitor job applications and their current statuses across your active hiring processes flawlessly
- Job Management — List and inspect job configurations, including hiring stages and department mappings synchronously
- Team Coordination — Retrieve office and department structures to ensure your hiring data is aligned with organizational goals
- User Auditing — List and verify user roles and access levels within your Greenhouse workspace natively
The Greenhouse MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Greenhouse to Vercel AI SDK via MCP
Follow these steps to integrate the Greenhouse MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 12 tools from Greenhouse and passes them to the LLM
Why Use Vercel AI SDK with the Greenhouse MCP Server
Vercel AI SDK provides unique advantages when paired with Greenhouse through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Greenhouse integration everywhere
Built-in streaming UI primitives let you display Greenhouse tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Greenhouse + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Greenhouse MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Greenhouse in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Greenhouse tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Greenhouse capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Greenhouse through natural language queries
Greenhouse MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Greenhouse to Vercel AI SDK via MCP:
create_candidate
Create a new candidate profile
get_application
Get details for a specific application
get_candidate
Get details for a specific candidate
get_job
Get details for a specific job
get_user
Get details for a specific user
list_applications
Retrieve job applications
list_candidates
List all candidates in Greenhouse
list_departments
List company departments
list_job_stages
List hiring stages for a specific job
list_jobs
List jobs in Greenhouse
list_offices
List company offices
list_users
List Greenhouse users
Example Prompts for Greenhouse in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Greenhouse immediately.
"List my active jobs in Greenhouse"
"Show me the profile for candidate ID 93021"
"What are the hiring stages for the 'Product Designer' job?"
Troubleshooting Greenhouse MCP Server with Vercel AI SDK
Common issues when connecting Greenhouse to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGreenhouse + Vercel AI SDK FAQ
Common questions about integrating Greenhouse MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Greenhouse with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Greenhouse to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.