mcp-gsc

Analyze SEO data from Google Search Console via natural language conversations.

MCPResearchOpen source

Type: MCP
Transport: stdio
Open source: Yes
GitHub Stars: ★ 1.1k
Source: mcp-github
Repository: github.com/AminForou/mcp-gsc

Overview

mcp-gsc is a Model Context Protocol (MCP) server that connects Google Search Console (GSC) with AI assistants, enabling you to analyze SEO data through natural language dialogue. Compatible with MCP-compatible clients such as Claude Desktop, Cursor, and Codex CLI. This capability allows the AI to manage GSC properties, retrieve search analytics reports, check URL indexing status, and manage sitemaps. Users need to configure Google API credentials to use this feature.

Capabilities

▪View all GSC properties
▪Retrieve site details
▪Fetch search analytics data
▪Compare performance across different time periods
▪Batch-check URL indexing issues
▪Submit or remove sitemaps

Use cases

SEO experts querying GSC data via natural languageAutomating SEO report generationMonitoring website indexing statusOptimizing website content strategy

Setup

Requires: API KeyNode 环境

1. Create a project and enable the Search Console API in the Google Cloud Console.
2. Create an OAuth client ID or service account, and download the JSON file.
3. Save the JSON file in a permanent location (e.g., `~/Documents/client_secrets.json`).
4. On first use, a browser window will open prompting you to log in to your Google account.

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

See Step 1 in the README, choose either OAuth or service account method.

Please refer to Step 1 in the README, select either OAuth or service account approach.

Which MCP clients are supported?

Supports MCP-compatible clients such as Claude Desktop, Cursor, Codex CLI, and others.

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