IP Address Parser MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Parse Ip Address
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect IP Address Parser 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 for Vercel AI SDK
The IP Address Parser MCP Server for Vercel AI SDK is a standout in the Loved By Devs category — giving your AI agent 1 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 IP Address Parser, 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 IP Address Parser MCP Server
A security agent receives the IP 10.0.14.7 and needs to know: is this a private address? Can it reach the internet? What CIDR block does it belong to? Ask an AI and you'll get a confident but often wrong answer.
The Vercel AI SDK gives every IP Address Parser tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
This MCP uses ipaddr.js (30M+ weekly downloads) — the exact same library that Express.js, Koa, and Fastify use to parse IP addresses in production. Every classification follows RFC 5735 and RFC 4291.
The Superpowers
- Range Classification: Instantly know if an IP is unicast, private, loopback, multicast, linkLocal, or unspecified — no RFC memorization needed.
- CIDR Parsing: Pass
10.0.0.0/8and get the network address, prefix length, and address kind. - Dual Stack: Full IPv4 and IPv6 support with automatic format detection.
- IPv4↔IPv6 Conversion: Convert
192.168.1.1to its IPv4-mapped IPv6 representation::ffff:192.168.1.1and back.
The IP Address Parser MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 IP Address Parser tools available for Vercel AI SDK
When Vercel AI SDK connects to IP Address Parser through Vinkius, your AI agent gets direct access to every tool listed below — spanning ipv4, ipv6, cidr, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Parse ip address on IP Address Parser
The engine uses ipaddr.js (30M+ downloads) which is the standard IP parsing library used by Express.js and Koa. Validates and parses IPv4/IPv6 addresses. Supports CIDR notation, range detection, and IPv4↔IPv6 conversion
Connect IP Address Parser to Vercel AI SDK via MCP
Follow these steps to wire IP Address Parser into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 IP Address Parser MCP Server
Vercel AI SDK provides unique advantages when paired with IP Address Parser 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 IP Address Parser integration everywhere
Built-in streaming UI primitives let you display IP Address Parser 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
IP Address Parser + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the IP Address Parser MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query IP Address Parser in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate IP Address Parser tools and return structured JSON responses to any frontend
Chatbots with tool use: embed IP Address Parser capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with IP Address Parser through natural language queries
Example Prompts for IP Address Parser in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with IP Address Parser immediately.
"Our firewall received a connection from 10.0.14.7. Is this an internal or external IP?"
"Parse the VPC subnet 172.31.0.0/16 for our AWS infrastructure documentation."
"Convert our on-prem server 192.168.1.100 to IPv6 format for the dual-stack migration."
Troubleshooting IP Address Parser MCP Server with Vercel AI SDK
Common issues when connecting IP Address Parser to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpIP Address Parser + Vercel AI SDK FAQ
Common questions about integrating IP Address Parser 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.Explore More MCP Servers
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