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How to Use the Webshare MCP in Vercel AI SDK

Show live proxy status and account quotas directly in your Next.js or React frontend using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Webshare MCP to Vercel AI SDK

Create your Vinkius account to connect Webshare to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Stream Proxy Status to the User Interface

Your agent can check current access limits and historical usage by calling `get_bandwidth_stats` or `get_account_profile`. You'll get JSON data that streams directly into your UI, letting users see their quota usage in real-time. This means you don't need a separate API call just to show stats. The user sees the numbers pop up as they talk to the AI, making the whole experience feel faster and more immediate.

Manage IP Whitelisting via MCP Server

Don't let your app break because an IP changes. Use `authorize_new_ip` to whitelist new endpoints when a user signs up or moves location. You can also call `revoke_ip_authorization` if the access needs to be cut off immediately. Your client handles this flow naturally: check permissions, and if needed, send a command to update the authorized IPs.

Check Proxy Availability On Demand

If your user needs a fresh proxy IP, you can use `list_proxies` to get all assigned details. If they're running low on replacements, simply call `get_replacement_quota`. It's simple data retrieval that feels crucial to the conversation. This keeps your client highly interactive because it pulls live operational metrics right into the user experience.

Setup guide

Set up Webshare MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Webshare tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Webshare transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webshare. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Webshare MCP in Vercel AI SDK

When using the Vercel AI SDK, if a proxy fails mid-session, your agent can call `request_proxy_replacement`. The data streams back to the user almost instantly, letting them know we fixed it without a page refresh.
It provides `get_account_profile`, which includes plan limits and current bandwidth quotas. You also get detailed stats using `get_bandwidth_stats` to show usage trends over time.
Yep. Your agent can list all assigned proxies, including their ports and credentials, using the `list_proxies` tool. It’s a clean way to let the user see exactly what they're working with.
You just call `authorize_new_ip` and pass the target IP. The MCP Server handles whitelisting it immediately, making sure your client can use it without needing passwords.
This server deals with proxy access details, specifically IP addresses. The MCP Server allows you to manage which IPs are whitelisted via `authorize_new_ip`.

Start using the Webshare MCP today

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