Checkr 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 Checkr 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 Checkr, 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 Checkr MCP Server
Connect your Checkr account to any AI agent and take full control of your background screening and hiring compliance through natural conversation. Streamline how you screen candidates and verify credentials.
The Vercel AI SDK gives every Checkr 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 Oversight — List and retrieve details for all candidates in your account natively
- Report Intelligence — Access background check reports and their current status (Clear, Consider, Pending) flawlessly
- Screening Automation — Create new candidate profiles and initiate background checks securely
- Package Logistics — List and manage available screening packages like 'Pro' and 'Basic' flawlessly
- Invitation Control — Monitor invitations sent to candidates to complete their own screening applications securely
- Compliance Monitoring — Retrieve detailed report results and adverse action status directly within your workspace
The Checkr 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 Checkr to Vercel AI SDK via MCP
Follow these steps to integrate the Checkr 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 Checkr and passes them to the LLM
Why Use Vercel AI SDK with the Checkr MCP Server
Vercel AI SDK provides unique advantages when paired with Checkr 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 Checkr integration everywhere
Built-in streaming UI primitives let you display Checkr 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
Checkr + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Checkr MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Checkr in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Checkr tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Checkr capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Checkr through natural language queries
Checkr MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect Checkr to Vercel AI SDK via MCP:
create_new_candidate
Create a new candidate profile
get_candidate_details
Get detailed information for a specific candidate
get_report_details
Get detailed information for a specific background report
list_background_reports
List background check reports
list_checkr_candidates
List candidates in the account
list_screening_invitations
List invitations sent to candidates
list_screening_packages
List available screening packages (e.g. Pro, Basic)
start_background_check
Initiate a background check for a candidate
Example Prompts for Checkr in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Checkr immediately.
"List the last 5 background checks in my Checkr account."
"Check the status of the candidate named 'Jane Smith'."
"What screening packages do I have available?"
Troubleshooting Checkr MCP Server with Vercel AI SDK
Common issues when connecting Checkr to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCheckr + Vercel AI SDK FAQ
Common questions about integrating Checkr 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 Checkr 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 Checkr to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.