Lever 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 Lever 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 Lever, 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 Lever MCP Server
Connect your Lever account to any AI agent to streamline your recruitment and talent acquisition workflows. This MCP server enables your agent to interact with job postings, manage candidate opportunities, and move applications through your hiring pipeline directly.
The Vercel AI SDK gives every Lever 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
- Posting Oversight — List and retrieve detailed configurations for all your active job advertisements
- Opportunity Management — Manage candidate applications (Opportunities), track their status, and move them through hiring stages
- Candidate Insight — Access complete candidate profiles, contact details, and interaction histories
- Pipeline Control — List hiring stages and automate the archiving of applications with specific reasons
- Workflow Automation — Create new job postings or candidate records directly from natural language interfaces
The Lever 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 Lever to Vercel AI SDK via MCP
Follow these steps to integrate the Lever 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 Lever and passes them to the LLM
Why Use Vercel AI SDK with the Lever MCP Server
Vercel AI SDK provides unique advantages when paired with Lever 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 Lever integration everywhere
Built-in streaming UI primitives let you display Lever 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
Lever + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Lever MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Lever in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Lever tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Lever capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Lever through natural language queries
Lever MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Lever to Vercel AI SDK via MCP:
archive_hiring_opportunity
Archive a candidate opportunity
create_hiring_opportunity
Requires a JSON body with opportunity details. Create a new candidate opportunity
create_job_posting
Requires a JSON body with posting details. Create a new job posting
get_candidate_profile
Get details for a specific candidate (person)
get_opportunity_details
Get details for a specific candidate opportunity
get_posting_details
Get details for a specific job posting
list_hiring_opportunities
List all candidate opportunities (applications)
list_hiring_stages
g., Screen, Interview) configured in your Lever account. List all defined hiring pipeline stages
list_job_postings
List all job postings
update_opportunity_stage
g., move to "Interview" or "Offer"). Move a candidate to a different hiring stage
Example Prompts for Lever in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Lever immediately.
"List all my current job postings in Lever."
"Move opportunity ID 'opp-123' to the 'Interview' stage (ID: 'stage-abc')."
"Get the full profile for candidate ID 'cand-987'."
Troubleshooting Lever MCP Server with Vercel AI SDK
Common issues when connecting Lever to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLever + Vercel AI SDK FAQ
Common questions about integrating Lever 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 Lever 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 Lever to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.