IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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 IPQualityScore (IPQS), 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 IPQualityScore (IPQS) MCP Server
Empower your AI agents to protect your platform with IPQualityScore (IPQS). This MCP server allows you to perform real-time lookups for IPs, emails, URLs, and phone numbers to detect fraud, bots, and high-risk activity. Ideal for automating security checks and enhancing risk management.
The Vercel AI SDK gives every IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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 IPQualityScore (IPQS) to Vercel AI SDK via MCP
Follow these steps to integrate the IPQualityScore (IPQS) 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 IPQualityScore (IPQS) and passes them to the LLM
Why Use Vercel AI SDK with the IPQualityScore (IPQS) MCP Server
Vercel AI SDK provides unique advantages when paired with IPQualityScore (IPQS) 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 IPQualityScore (IPQS) integration everywhere
Built-in streaming UI primitives let you display IPQualityScore (IPQS) 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
IPQualityScore (IPQS) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the IPQualityScore (IPQS) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query IPQualityScore (IPQS) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate IPQualityScore (IPQS) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed IPQualityScore (IPQS) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with IPQualityScore (IPQS) through natural language queries
IPQualityScore (IPQS) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect IPQualityScore (IPQS) to Vercel AI SDK via MCP:
email_lookup
Returns a risk score and validation flags. Use this to vet new user registrations and prevent fraudulent accounts. Analyzes an email address for fraud and deliverability
get_account
Use to verify plan status and current configuration. Retrieves details about your IPQS account
get_credits
Essential for ensuring the service remains active and within quota. Retrieves credit usage and balance information
ip_lookup
Returns fraud scores, proxy/VPN detection results, and geographical data. Essential for identifying malicious users or automated bots during sign-up or transaction processes. Analyzes an IP address for fraud and proxy detection
list_conversions
Useful for e-commerce and affiliate management auditing. Lists tracked conversions
list_fraud
Essential for high-level security auditing and threat monitoring. Lists recent fraud event logs
list_reports
Useful for auditing recent security triggers. Lists recent fraud reports
list_stats
Useful for monitoring integration health. Lists usage statistics for your account
phone_lookup
Returns line type and risk indicators. Use for identity verification and fraud prevention. Analyzes a phone number for fraud and risk
url_lookup
Returns a risk score and classification of the site. Use this to audit suspicious links provided by users or found in communication. Analyzes a URL for malicious activity
Example Prompts for IPQualityScore (IPQS) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with IPQualityScore (IPQS) immediately.
"Analyze the IP address 8.8.8.8 for fraud risk."
"Verify if the email address 'fraudster@test.com' is risky."
"Check this URL for potential malware: http://malicious-site.com"
Troubleshooting IPQualityScore (IPQS) MCP Server with Vercel AI SDK
Common issues when connecting IPQualityScore (IPQS) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIPQualityScore (IPQS) + Vercel AI SDK FAQ
Common questions about integrating IPQualityScore (IPQS) 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 IPQualityScore (IPQS) 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 IPQualityScore (IPQS) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.