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Google Search Console MCP server (GSC) for SEO analytics in Codex, Claude Code, Cursor, and ChatGPT.

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ClaudeWave Trust Score
95/100
Verified
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  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/23/2026
Install in Claude Code / Claude Desktop
Method: NPX · searchconsole-ai
Claude Code CLI
claude mcp add searchconsole-ai -- npx -y searchconsole-ai
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "searchconsole-ai": {
      "command": "npx",
      "args": ["-y", "searchconsole-ai"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# Google Search Console MCP (GSC) — SearchConsole.ai

SearchConsole.ai is a hosted, read-only Google Search Console MCP server for GSC search analytics, SEO performance, URL inspection, indexing diagnostics, and sitemaps. Use the Google Search Console API as an SEO MCP integration in Codex, Claude Code, Cursor, ChatGPT, or another OAuth-capable MCP client without creating a Google Cloud project.

```bash
npx -y searchconsole-ai@latest setup
```

Or choose a client directly:

```bash
npx -y searchconsole-ai@latest setup codex
npx -y searchconsole-ai@latest setup claude
npx -y searchconsole-ai@latest setup cursor
```

## Google Search Console MCP features

- No Google Cloud project or downloaded OAuth credentials
- Hosted Streamable HTTP MCP endpoint
- Google OAuth with read-only Google Search Console access
- GSC search analytics, period comparisons, URL inspection, indexing diagnostics, and sitemaps
- Works with Codex, Claude Code, Cursor, ChatGPT, and other OAuth-capable MCP clients

## What the setup command does

For Codex and Claude Code, the CLI invokes the client's supported `mcp add` command and starts its MCP OAuth flow. For Cursor, it safely adds this entry to `~/.cursor/mcp.json`, preserving existing configuration and creating a backup before changing an existing file:

```json
{
  "mcpServers": {
    "searchconsole-ai": {
      "type": "http",
      "url": "https://searchconsole.ai/mcp"
    }
  }
}
```

Preview changes without applying them:

```bash
npx -y searchconsole-ai@latest setup cursor --dry-run
```

Configure a command-line client without opening OAuth immediately:

```bash
npx -y searchconsole-ai@latest setup codex --no-login
```

This package does not contain or run a local Search Console server. It never asks for, receives, or stores Google credentials. Authentication is handled by the MCP client and the hosted SearchConsole.ai OAuth service.

## Manual configuration

Add a remote Streamable HTTP MCP server named `searchconsole-ai` with this URL:

```text
https://searchconsole.ai/mcp
```

Full instructions: [searchconsole.ai](https://searchconsole.ai/?ref=npm)

Public source and release history: [github.com/AndreyAzimov/searchconsole-ai](https://github.com/AndreyAzimov/searchconsole-ai)

## How to use it

After configuring the server, complete the client's OAuth sign-in with a Google account that has access to your Search Console properties. Then ask your AI assistant to use SearchConsole.ai, specifying the property and date range you want to analyze.

Example prompts:

- "For example.com, compare clicks, impressions, CTR, and average position for the last 28 complete days with the preceding 28 days. Which pages lost the most clicks?"
- "Find queries for example.com with high impressions and low CTR over the last 28 complete days. Suggest improvements based on the Search Console data."
- "Inspect https://example.com/my-page and explain the indexing status reported by Google Search Console."
- "List the sitemaps for example.com and summarize any reported errors or warnings."

Replace the example domain and URL with your own. SearchConsole.ai reads Search Console data; it does not edit your website, submit sitemaps, or request indexing.

## Privacy and support

- [Privacy policy](https://searchconsole.ai/privacy)
- [Terms](https://searchconsole.ai/terms)
- [Support](https://searchconsole.ai/support)

## License

MIT
chatgptclaude-codecodexcursorgoogle-search-consolegscmcpmcp-servermodel-context-protocolsearch-analyticsseoseo-analytics

What people ask about searchconsole-ai

What is AndreyAzimov/searchconsole-ai?

+

AndreyAzimov/searchconsole-ai is mcp servers for the Claude AI ecosystem. Google Search Console MCP server (GSC) for SEO analytics in Codex, Claude Code, Cursor, and ChatGPT. It has 0 GitHub stars and its last recorded update is dated 2026-09-22.

How do I install searchconsole-ai?

+

You can install searchconsole-ai by cloning the repository (https://github.com/AndreyAzimov/searchconsole-ai) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is AndreyAzimov/searchconsole-ai safe to use?

+

Our security agent has analyzed AndreyAzimov/searchconsole-ai and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains AndreyAzimov/searchconsole-ai?

+

AndreyAzimov/searchconsole-ai is maintained by AndreyAzimov. The last recorded GitHub activity is dated 2026-09-22, with 0 open issues.

Are there alternatives to searchconsole-ai?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy searchconsole-ai to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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