Google Search Console MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"google-search-console": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Google Search Console into an in-editor superpower. Ask Cursor to generate code using live data from Google Search Console and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Google Search Console MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Google Search Console
Open Agent mode in chat and ask: "Using Google Search Console, help me..." — 10 tools available
Why Use Cursor with the Google Search Console MCP Server
Cursor AI Code Editor provides unique advantages when paired with Google Search Console through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Google Search Console + Cursor Use Cases
Practical scenarios where Cursor combined with the Google Search Console MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Google Search Console MCP Tools for Cursor (10)
These 10 tools become available when you connect Google Search Console to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Google Search Console to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Google Search Console + Cursor FAQ
Common questions about integrating Google Search Console MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Google Search Console with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
