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mcp-gsc
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mcp-gsc

Active·★ 1.2k·MIT·Updated 2026-07-17
★ Essential★ Trending

This Model Context Protocol (MCP) server connects Google Search Console (GSC) to various AI assistants, enabling natural language analysis of SEO data. It provides a suite of tools for property management, search analytics, URL inspection, and sitemap management through conversational AI.

mcp-gsc is currently grouped under API Integration, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Property Management: View, verify, add, or remove GSC properties. and Generate weekly SEO performance reports including period-over-period comparisons.. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 1.2k GitHub stars.

#Google Search Console#SEO Analytics#AI Assistant#API Integration#MCP Server#Python#Data Analysis
$ Install
$ git clone https://github.com/AminForou/mcp-gsc.git && cd mcp-gsc && uv venv .venv && uv pip install -r requirements.txt
↗ Visit site★ GitHub
01

Features

01Property Management: View, verify, add, or remove GSC properties.
02Search Analytics & Reporting: Analyze queries, clicks, impressions, and performance trends.
03URL Inspection & Indexing: Check indexing problems and crawl status for specific pages.
04Sitemap Management: View, submit, and check sitemaps for errors.
05Natural Language Interaction: Interact with GSC data using conversational AI clients.
02

Why choose it

+Property Management: View, verify, add, or remove GSC properties.
+Generate weekly SEO performance reports including period-over-period comparisons.
+Covers 8 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

Claude Desktop
Client
Verified via docs
Cursor
Client
Verified via docs
Codex CLI
Client
Verified via docs
Gemini CLI
Client
Verified via docs
Antigravity
Client
Verified via docs
Python
Runtime
Verified via docs
05

Quick start

1
$ git clone https://github.com/AminForou/mcp-gsc.git
2
$ cd mcp-gsc
3
$ uv venv .venv
4
$ uv pip install -r requirements.txt
06

Use cases

↳Generate weekly SEO performance reports including period-over-period comparisons.
↳Identify and analyze keyword cannibalization issues across multiple pages.
↳Perform batch URL inspections to audit website indexing status and find issues.
↳Discover content opportunities by analyzing queries with high impressions but low CTR.
↳Compare search performance of a site between two different time periods.
07

How it compares

≈mcp-gsc sits in the API Integration category, so it makes more sense to evaluate it alongside tools like awesome-mcp-servers instead of in isolation.
≈If your main need is closer to "Generate weekly SEO performance reports including period-over-period comparisons.", that use case is a better lens for comparison than broad feature checklists alone.
≈mcp-gsc uses a MIT license, and community traction are both easier to judge in category context.
08

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Related searches

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 1.2k
Last commit3d ago
StatusActive
LicenseMIT
CategoryAPI Integration
Trend (30d)
+0k↑ 3.4%
Links
Documentation↗Discussion↗Issues↗Releases↗

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