Google Search Console 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 Google Search Console through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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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 Google Search Console, 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 Google Search Console MCP Server
Connect your Google Search Console to your AI agent and take control of your technical SEO. Use natural language to query search traffic data, inspect URLs for indexing errors, and manage your sitemaps across all your verified web properties.
The Vercel AI SDK gives every Google Search Console tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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
- Search Analytics — Query clicks, impressions, CTR, and position data by date, country, device, or specific queries
- URL Inspection — Instantly check if a specific page on your site is indexed by Google and identify any mobile usability or indexing errors
- Sitemap Management — List all submitted sitemaps, verify their status, and submit new ones directly from the chat
- Site Management — View all your verified properties and add or remove sites from your Search Console account
The Google Search Console 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 Google Search Console to Vercel AI SDK via MCP
Follow these steps to integrate the Google Search Console 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 Google Search Console and passes them to the LLM
Why Use Vercel AI SDK with the Google Search Console MCP Server
Vercel AI SDK provides unique advantages when paired with Google Search Console 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 Google Search Console integration everywhere
Built-in streaming UI primitives let you display Google Search Console 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
Google Search Console + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Google Search Console MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Google Search Console in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Google Search Console tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Google Search Console capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Google Search Console through natural language queries
Google Search Console MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Google Search Console to Vercel AI SDK via MCP:
add_site
Add a site to Search Console
delete_site
Remove a site from Search Console
delete_sitemap
Delete a submitted sitemap
get_site
Get details for a specific site
get_sitemap
Get details about a specific sitemap
inspect_url
Inspect the index status of a specific URL
list_sitemaps
List submitted sitemaps for a site
list_sites
List verified sites in Search Console
query_search_analytics
Query search traffic data
submit_sitemap
Submit a new sitemap
Example Prompts for Google Search Console in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Google Search Console immediately.
"Check if https://mysite.com/new-post is indexed by Google."
"What were the top 5 search queries for our site last week?"
"Submit our new sitemap at https://mysite.com/sitemap-products.xml to Search Console."
Troubleshooting Google Search Console MCP Server with Vercel AI SDK
Common issues when connecting Google Search Console to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGoogle Search Console + Vercel AI SDK FAQ
Common questions about integrating Google Search Console 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 Google Search Console 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 Google Search Console to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.