Recruit CRM MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Create Candidate, Create Job, Get Candidate Details, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Recruit CRM 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 App Connector for Vercel AI SDK
The Recruit CRM app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Recruit CRM, 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 Recruit CRM MCP Server
What you can do
- List and manage candidates in your recruitment database in real-time.
- Track job vacancies, requirements, and application pipelines.
- Access client company details and key contacts directly from your AI agent.
- Create new candidates and job postings with simple commands.
Who is it for?
- Recruitment agencies looking for automated ATS and CRM control.
- HR teams managing a high volume of candidates and job postings.
- Hiring managers tracking pipeline status and decision makers.
The Vercel AI SDK gives every Recruit CRM 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.
The Recruit CRM 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.
All 12 Recruit CRM tools available for Vercel AI SDK
When Vercel AI SDK connects to Recruit CRM through Vinkius, your AI agent gets direct access to every tool listed below — spanning recruitment, ats, crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a new candidate
Create a new job posting
Get details of a specific candidate
Get details of a specific company
Get details of a specific contact
Get details of a specific job
Get account information
List recruitment candidates
List client companies
List client contacts
List candidates assigned to a job
List job vacancies
Connect Recruit CRM to Vercel AI SDK via MCP
Follow these steps to wire Recruit CRM into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Recruit CRM MCP Server
Vercel AI SDK provides unique advantages when paired with Recruit CRM 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 Recruit CRM integration everywhere
Built-in streaming UI primitives let you display Recruit CRM 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
Recruit CRM + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Recruit CRM MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Recruit CRM in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Recruit CRM tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Recruit CRM capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Recruit CRM through natural language queries
Example Prompts for Recruit CRM in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Recruit CRM immediately.
"List all active jobs in Recruit CRM."
"Show me all candidates in the final interview stage across all open positions."
"Add a new candidate to the Senior Backend Engineer position and schedule a first-round interview."
Troubleshooting Recruit CRM MCP Server with Vercel AI SDK
Common issues when connecting Recruit CRM to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpRecruit CRM + Vercel AI SDK FAQ
Common questions about integrating Recruit CRM 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.