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Webshare MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Webshare through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
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 Webshare, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
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About Webshare MCP Server

Connect your Webshare account to any AI agent and take full control of your proxy infrastructure through natural conversation.

The Vercel AI SDK gives every Webshare 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

  • Proxy Management — List all assigned residential and datacenter proxy IPs, including ports, credentials, and health status
  • IP Authorization — Audit and manage your whitelist of authorized IP addresses to grant proxy access to new servers instantly
  • Rotation Control — Retrieve current proxy rotation and backbone network settings to ensure your crawlers are configured correctly
  • Real-Time Stats — Monitor your bandwidth consumption and request success/failure rates directly from your agent
  • Immediate Replacement — Request instant proxy replacements for flagged or blocked IPs within your account quota
  • Quota Monitoring — Check your account profile, plan limits, and remaining bandwidth before starting large-scale data tasks
  • High-Speed Export — Generate temporary tokens to export and download your entire proxy list in a single request

The Webshare 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 Webshare to Vercel AI SDK via MCP

Follow these steps to integrate the Webshare MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 10 tools from Webshare and passes them to the LLM

Why Use Vercel AI SDK with the Webshare MCP Server

Vercel AI SDK provides unique advantages when paired with Webshare through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Webshare integration everywhere

03

Built-in streaming UI primitives let you display Webshare tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Webshare + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Webshare MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Webshare in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Webshare tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Webshare capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Webshare through natural language queries

Webshare MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Webshare to Vercel AI SDK via MCP:

01

authorize_new_ip

Whitelists a new IP address for proxy access

02

export_proxy_list

Generates a temporary token to download the entire proxy list in a single request

03

get_account_profile

Retrieves Webshare user profile, including plan limits and bandwidth quotas

04

get_bandwidth_stats

Retrieves historical bandwidth and request statistics

05

get_proxy_configuration

Retrieves current proxy rotation and backbone network settings

06

get_replacement_quota

Checks the available proxy replacement limits for the current cycle

07

list_authorized_ips

Lists all IP addresses authorized to use proxies without password authentication

08

list_proxies

Supports pagination. Lists all assigned proxy IPs with their ports, credentials, and health status

09

request_proxy_replacement

Subject to account quotas. Requests an immediate replacement for a specific proxy IP

10

revoke_ip_authorization

Requires the unique ip_id. Removes an IP address from the authorized whitelist

Example Prompts for Webshare in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Webshare immediately.

01

"List my active proxies and their health status."

02

"Authorize the IP address 192.168.1.100 for my proxy pool."

03

"What are my bandwidth statistics for this month?"

Troubleshooting Webshare MCP Server with Vercel AI SDK

Common issues when connecting Webshare to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Webshare + Vercel AI SDK FAQ

Common questions about integrating Webshare MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Webshare to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.