CATS ATS MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect CATS ATS 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 CATS ATS, 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 CATS ATS MCP Server
Connect your CATS Applicant Tracking System (ATS) account to any AI agent and take full control of your recruitment pipeline through natural conversation. Streamline candidate sourcing and job management.
The Vercel AI SDK gives every CATS ATS tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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 Discovery — Search and list candidate profiles with detailed contact information and status natively
- Job Oversight — List and retrieve details for all active job orders and open positions flawlessly
- Activity Tracking — Monitor recent recruitment activities, notes, and interactions securely
- Organizational Mapping — List client companies and associated contacts within your ATS flawlessly
- HAL-native Integration — Access deep object relationships through the CATS v3 HAL API structure in real-time
- Pipeline Analysis — Audit candidate progress across different recruitment stages directly within your workspace
The CATS ATS MCP Server exposes 8 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 CATS ATS to Vercel AI SDK via MCP
Follow these steps to integrate the CATS ATS 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 8 tools from CATS ATS and passes them to the LLM
Why Use Vercel AI SDK with the CATS ATS MCP Server
Vercel AI SDK provides unique advantages when paired with CATS ATS 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 CATS ATS integration everywhere
Built-in streaming UI primitives let you display CATS ATS 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
CATS ATS + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the CATS ATS MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query CATS ATS in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate CATS ATS tools and return structured JSON responses to any frontend
Chatbots with tool use: embed CATS ATS capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with CATS ATS through natural language queries
CATS ATS MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect CATS ATS to Vercel AI SDK via MCP:
get_candidate_details
Get detailed information for a specific candidate
get_job_details
Get detailed information for a specific job order
list_candidates
List recruitment candidates
list_job_orders
List job orders and open positions
list_recruitment_activities
List recent recruitment activities and notes
list_recruitment_companies
List client companies in the ATS
list_recruitment_contacts
List contacts associated with companies
search_candidates
Search for candidates using filters
Example Prompts for CATS ATS in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with CATS ATS immediately.
"Search for candidates named 'Sarah' in my CATS ATS."
"What are the active job orders right now?"
"Show me the last 10 recruitment activities."
Troubleshooting CATS ATS MCP Server with Vercel AI SDK
Common issues when connecting CATS ATS to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCATS ATS + Vercel AI SDK FAQ
Common questions about integrating CATS ATS 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 CATS ATS 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 CATS ATS to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.