Join MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Join 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
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 Join, 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 Join MCP Server
Empower your AI agents with JOIN's modern recruiting platform. This MCP server allows you to list job openings, retrieve candidate details, manage applications, and view organization departments directly through the JOIN API. Ideal for automating hiring workflows and talent acquisition.
The Vercel AI SDK gives every Join 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.
The Join MCP Server exposes 10 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 Join to Vercel AI SDK via MCP
Follow these steps to integrate the Join 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 10 tools from Join and passes them to the LLM
Why Use Vercel AI SDK with the Join MCP Server
Vercel AI SDK provides unique advantages when paired with Join 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 Join integration everywhere
Built-in streaming UI primitives let you display Join 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
Join + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Join MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Join in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Join tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Join capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Join through natural language queries
Join MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Join to Vercel AI SDK via MCP:
get_application
Returns answers to form questions, internal notes, and application status. Use when evaluating a specific applicant or moving them through the pipeline. Retrieves details for a specific application
get_candidate
Use this for detailed candidate vetting and interview preparation. Retrieves details for a specific candidate
get_job
Returns descriptions, requirements, and internal metadata. Use this when the user needs to analyze the specifics of a particular role or prepare content related to it. Retrieves details for a specific job
get_me
Use this to verify identity and check connection health. Gets details about your own authenticated user
list_applications
Includes candidate summaries and basic application info. Essential for monitoring recent applicant flow and identifying new leads in the recruitment process. Lists all job applications
list_candidates
Returns candidate profiles, contact info, and their association with jobs. Use this when the user wants to search for specific people or perform bulk talent management tasks. Lists all candidates in the system
list_departments
g., Engineering, Sales, HR). Useful for filtering jobs or organizing the recruiting workspace by functional areas. Lists all organization departments
list_jobs
Returns job titles, IDs, and current status. Use this as the primary entry point to identify specific jobs or to provide an overview of the current hiring pipeline. Lists all job postings in JOIN
list_locations
Use this when the user asks for jobs in specific regions or needs to audit location-based recruiting data. Lists all job locations
list_users
Useful for identifying hiring managers or checking account access permissions. Lists all users in your JOIN account
Example Prompts for Join in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Join immediately.
"List all active job postings in JOIN."
"Show me the latest candidate applications."
"Get details for candidate ID '123'."
Troubleshooting Join MCP Server with Vercel AI SDK
Common issues when connecting Join to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJoin + Vercel AI SDK FAQ
Common questions about integrating Join 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 Join 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 Join to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.