Connects Google Search Console to AI assistants for SEO analysis.
★ —
GitHub stars
This Model Context Protocol (MCP) server enables seamless integration between Google Search Console and AI assistants, allowing users to analyze their SEO data through natural language conversations. It supports various clients like Claude Desktop, Cursor, and Codex CLI. For those who prefer a hassle-free experience, a hosted version is available with one-click Google sign-in and additional GA4 tools.
Set up Google API credentials and install using uvx or clone the repository.
MIT
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Google Search Console MCP Server for SEOs surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Google Search Console MCP Server for SEOs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Google Search Console MCP Server for SEOs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
According to our notes, Google Search Console MCP Server for SEOs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Google Search Console MCP Server for SEOs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Google Search Console MCP Server for SEOs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
We evaluated Google Search Console MCP Server for SEOs against two servers with overlapping tools; this profile had the clearer scope statement.
Google Search Console MCP Server for SEOs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Google Search Console MCP Server for SEOs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Google Search Console MCP Server for SEOs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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Google Search Console MCP Server for SEOs A Model Context Protocol (MCP) server that connects Google Search Console (GSC) to AI assistants, allowing you to analyze your SEO data through natural language conversations. Works with Claude Desktop, Cursor, Codex CLI, Gemini CLI, Antigravity, and any other MCP-compatible client.
Prefer zero setup? There's also a hosted version of this MCP server with one-click Google sign-in, no Python, no terminal, and added GA4 tools — works in Claude.ai, ChatGPT, Cursor, Claude Desktop, and any MCP client. → Advanced GSC MCP (hosted) · starts at $12/mo during the founding cohort.
What's New [0.3.2] — April 2026 OAuth browser flow fixed for uvx — removed the isatty block that prevented the browser login window from opening when running as an MCP subprocess on macOS. OAuth now works out of the box with uvx, no manual terminal run needed. get_capabilities tool added — call this to get a full list of available tools and current auth status in one shot. Useful when your AI assistant isn't sure what tools are available. Better auth error messages — all tools now tell you exactly what to do when credentials are missing or expired. What Can This Do? Property Management
See all your GSC properties in one place Get verification details and ownership information Add or remove properties from your account Search Analytics & Reporting
Discover which queries bring visitors to your site Track impressions, clicks, and click-through rates Analyze performance trends and compare time periods Visualize data with charts created by your AI assistant URL Inspection & Indexing
Check if specific pages have indexing problems See when Google last crawled your pages Inspect multiple URLs at once to identify patterns Sitemap Management
View all sitemaps and their status Submit new sitemaps Check for errors or warnings Available Tools Tool What It Does What You Need to Provide get_capabilities Lists all tools and shows auth status — call this first if unsure Nothing list_properties Shows all your GSC properties Nothing get_site_details Details about a specific site Site URL get_search_analytics Top queries and pages with clicks, impressions, CTR, position Site URL, time period get_performance_overview Summary of site performance Site URL, time period compare_search_periods Compare performance between two time periods Site URL, two date ranges get_search_by_page_query Search terms driving traffic to a specific page Site URL, page URL get_advanced_search_analytics Analytics with filters by country, device, query, page Site URL inspect_url_enhanced Detailed crawl/index status for a URL Site URL, page URL batch_url_inspection Inspect up to 10 URLs at once Site URL, list of URLs check_indexing_issues Check multiple URLs for indexing problems Site URL, list of URLs get_sitemaps Lists all sitemaps for a site Site URL list_sitemaps_enhanced Detailed sitemap info including errors and warnings Site URL manage_sitemaps Submit or delete sitemaps Site URL, action reauthenticate Re-run the OAuth browser login (switch accounts) Nothing Ask your AI assistant to "call get_capabilities" for the full list of all 20 tools.
Skip setup — try the hosted MCP server with one-click Google sign-in. Works in ChatGPT and Claude web. Includes GA4 and advanced SEO tools. Getting Started Step 1 — Set Up Google API Credentials You need credentials before configuring any client. Pick one method:
Option A — OAuth (Recommended — uses your own Google account) Go to Google Cloud Console and create or select a project Enable the Search Console API Go to Credentials → Create Credentials → OAuth client ID Configure the OAuth consent screen, select Desktop app, click Create Download the JSON file — save it somewhere permanent (e.g. ~/Documents/client_secrets.json) On first use, a browser window will open asking you to sign in to your Google account. After that, the token is saved and no browser interaction is needed again.
Option B — Service Account (For automation or team use) Go to Google Cloud Console and create or select a project Enable the Search Console API Go to Credentials → Create Credentials → Service Account Go to the Keys tab → Add Key → Create new key → JSON → Download Save the file somewhere permanent (e.g. ~/Documents/service_account.json) Add the service account email to your GSC property: Search Console → Settings → Users and permissions → Add user → Full access 🎥 Watch the step-by-step setup tutorial for this section GSC MCP Server Installation Guide 2026 Updated 2026 — covers the full installation process using the new uvx method, from setting up your Google credentials to your first successful query.
Step 2 — Installation Option A — uvx (Recommended) No cloning, no Python installation, no virtual environments. uvx downloads and runs the server automatically and keeps it up to date.
Install uv — open Terminal and run all three commands in order:
curl -LsSf https://astral.sh/uv/install.sh | sh
source $HOME/.local/bin/env
echo 'source $HOME/.local/bin/env' >> ~/.zshrc Verify:
uv --version Why all three commands? The installer puts uv in ~/.local/bin, but your already-open Terminal session doesn't know about that folder yet. Step 2 activates it immediately. Step 3 ensures every future Terminal window has it automatically.
Now configure your AI client:
Claude Desktop
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
OAuth:
{ "mcpServers": { "gscServer": { "command": "/FULL/PATH/TO/uvx", "args": ["mcp-search-console"], "env": { "GSC_OAUTH_CLIENT_SECRETS_FILE": "/full/path/to/client_secrets.json" } } } } Service Account:
{ "mcpServers": { "gscServer": { "command": "/FULL/PATH/TO/uvx", "args": ["mcp-search-console"], "env": { "GSC_CREDENTIALS_PATH": "/full/path/to/service_account.json", "GSC_SKIP_OAUTH": "true" } } } } Cursor
Config file: ~/.cursor/mcp.json
OAuth:
{ "mcpServers": { "gscServer": { "command": "/FULL/PATH/TO/uvx", "args": ["mcp-search-console"], "env": { "GSC_OAUTH_CLIENT_SECRETS_FILE": "/full/path/to/client_secrets.json" } } } } Codex CLI
Config file: ~/.codex/config.toml
OAuth:
[mcp_servers.gscServer] command = "/FULL/PATH/TO/uvx" args = ["mcp-search-console"] enabled = true env = { GSC_OAUTH_CLIENT_SECRETS_FILE = "/full/path/to/client_secrets.json" } Service Account:
[mcp_servers.gscServer] command = "/FULL/PATH/TO/uvx" args = ["mcp-search-console"] enabled = true env = { GSC_CREDENTIALS_PATH = "/full/path/to/service_account.json", GSC_SKIP_OAUTH = "true" } Finding your uvx path: Run which uvx in Terminal after installing uv. On macOS it is typically /Users/YOUR_NAME/.local/bin/uvx. Replace /FULL/PATH/TO/uvx in the configs above with that path.
Why the full path? GUI apps like Claude Desktop and Cursor launch without reading your shell config (~/.zshrc), so they don't know about ~/.local/bin. Using the full path guarantees it works regardless of how the app is launched. If you see a spawn uvx ENOENT error, this is the fix.
After saving the config, fully quit the app (Cmd+Q) and reopen it.
For OAuth: on first use, a browser window will open automatically for login. After that, the token is cached and you won't be asked again.
Option B — Clone (Advanced) Prefer a video walkthrough for this method? The tutorial below covers the clone install path step by step — virtual environment setup, dependencies, and config:
Google Search Console API Setup Tutorial Use this if you want to modify the code or run a specific local version. This method uses the video tutorial above for the credential setup steps.
Clone the repo:
git clone https://github.com/AminForou/mcp-gsc.git cd mcp-gsc Or download the ZIP from the green Code button at the top of this page and unzip it.
Set up the environment:
uv venv .venv uv pip install -r requirements.txt Configure your AI client (Claude Desktop example):
OAuth:
{ "mcpServers": { "gscServer": { "command": "/full/path/to/mcp-gsc/.venv/bin/python", "args": ["/full/path/to/mcp-gsc/gsc_server.py"], "env": { "GSC_OAUTH_CLIENT_SECRETS_FILE": "/full/path/to/client_secrets.json" } } } } Service Account:
{ "mcpServers": { "gscServer": { "command": "/full/path/to/mcp-gsc/.venv/bin/python", "args": ["/full/path/to/mcp-gsc/gsc_server.py"], "env": { "GSC_CREDENTIALS_PATH": "/full/path/to/service_account.json", "GSC_SKIP_OAUTH": "true" } } } } Mac path examples:
Python: /Users/yourname/Documents/mcp-gsc/.venv/bin/python Script: /Users/yourname/Documents/mcp-gsc/gsc_server.py Step 3 — Test Ask your AI assistant: "List my GSC properties"
If you see your properties — it's working. If not, ask: "Call get_capabilities" to see auth status and diagnose the issue.
Environment Variables Reference Variable Required Default Description GSC_OAUTH_CLIENT_SECRETS_FILE OAuth only — Absolute path to your OAuth client secrets JSON. Always required when using uvx. GSC_CREDENTIALS_PATH Service account only — Absolute path to your service account JSON key. Always required when using uvx. GSC_SKIP_OAUTH No false Set to "true" to force service account auth and skip OAuth entirely GSC_DATA_STATE No "all" "all" matches the GSC dashboard. "final" returns only confirmed data (2–3 day lag). GSC_ALLOW_DESTRUCTIVE No false Set to "true" to enable add/delete site and delete sitemap tools Cursor Marketplace One-click install available — search for mcp-search-console in the Cursor Marketplace.
After installing, configure your credentials (see Step 1 above) then use the bundled skills directly in Cursor Agent chat:
Skill How to invoke What it does seo-weekly-report "Run the SEO weekly report for example.com" Full 28-day performance summary with period-over-period comparison and top queries cannibalization-check "Check for keyword cannibalization on example.com" Finds queries where multiple pages compete; recommends which to keep indexing-audit "Audit indexing for my top pages" Batch-inspects top 20 pages and returns a prioritized fix list content-opportunities "Find content opportunities for example.com" Surfaces position-11-20 queries with high impressions and low CTR Sample Prompts Tool Sample Prompt list_properties "List all my GSC properties and tell me which ones have the most pages indexed." get_search_analytics "Show me the top 20 search queries for mywebsite.com in the last 30 days, highlight any with CTR below 2%, and suggest title improvements." get_performance_overview "Create a visual performance overview of mywebsite.com for the last 28 days, identify any unusual drops or spikes, and explain possible causes." check_indexing_issues "Check these pages for indexing issues: mywebsite.com/product, mywebsite.com/services, mywebsite.com/about" inspect_url_enhanced "Do a comprehensive inspection of mywebsite.com/landing-page and give me actionable recommendations." compare_search_periods "Compare my site's performance between January and February. What queries improved the most?" get_advanced_search_analytics "Analyze queries with high impressions but positions below 10, filtered to mobile traffic in the US only." Troubleshooting spawn uvx ENOENT or command not found: uvx Your AI client can't find uvx. Use the full path instead of just uvx:
which uvx
Replace "command": "uvx" with "command": "/Users/YOUR_NAME/.local/bin/uvx" in your config.
uv --version gives "command not found" right after installing The installer updates ~/.local/bin but your current Terminal session doesn't see it yet. Run:
source $HOME/.local/bin/env Then add it permanently:
echo 'source $HOME/.local/bin/env' >> ~/.zshrc Authentication failed / credentials file not found Make sure you are using the absolute path to your credentials file — not a relative path, not ~/. Example:
/Users/yourname/Documents/client_secrets.json ✅ ~/Documents/client_secrets.json ✅ client_secrets.json ❌ MCP only works in Claude Desktop app, not the website The MCP server runs locally on your machine. It only works in the Claude Desktop app (downloaded from claude.ai/download), not in the claude.ai browser interface.
AI Client Configuration Issues Make sure all file paths in your config are correct absolute paths Fully quit (Cmd+Q) and reopen the app after any config change — just closing the window is not enough Ask your AI assistant to "call get_capabilities" — it will report the exact auth status and error Safety: Destructive Operations By default, add_site, delete_site, and delete_sitemap are disabled. To enable them:
"GSC_ALLOW_DESTRUCTIVE": "true" Remote Deployment & Docker (Advanced) The standard setup runs the server locally. This section is only for users who want to run it on a remote server or in a container.
HTTP Transport MCP_TRANSPORT=sse MCP_HOST=0.0.0.0 MCP_PORT=3001 python gsc_server.py Variable Default Description MCP_TRANSPORT stdio Set to sse for network/remote use MCP_HOST 127.0.0.1 Host to bind MCP_PORT 3001 Port to bind Docker docker build -t mcp-gsc .
docker run
-e MCP_TRANSPORT=sse
-e MCP_HOST=0.0.0.0
-e MCP_PORT=3001
-e GSC_CREDENTIALS_PATH=/app/credentials.json
-v /path/to/credentials.json:/app/credentials.json
-p 3001:3001
mcp-gsc
Related Tools
Advanced GSC Visualizer — A Chrome extension (14,000+ users) with interactive charts, one-click export of up to 25,000 rows, keyword cannibalization detection, and an AI assistant — all directly inside Google Search Console. Built by the same author. Install from the Chrome Web Store →
Contributing Found a bug or have an idea for improvement? Open an issue or submit a pull request on GitHub.
License MIT License. See the LICENSE file for details.
Changelog [0.3.2] — April 2026 OAuth browser flow fixed for uvx — removed isatty block that prevented the OAuth browser window from opening when running as an MCP subprocess on macOS. OAuth + uvx now works out of the box. get_capabilities tool — returns all available tools grouped by category plus live auth status in one call. Better auth error messages — all tools now explicitly tell you to call reauthenticate when credentials are missing or expired. Improved list_properties description — better semantic tool discovery in clients that use lazy tool loading. [0.3.1] — April 2026 Fixed list_properties masking real auth errors; fail-fast on missing credentials. [0.3.0] — April 2026 Cursor Marketplace plugin with 4 bundled SEO skills Stable token storage in platform user config dir (survives uvx upgrades) Structured JSON output for all data tools 39 unit tests [0.2.2] — April 2026 Safety mode for destructive tools (disabled by default) HTTP/SSE transport for remote deployments Dockerfile [0.2.1] — March 2026 reauthenticate tool for switching Google accounts Fixed sitemap TypeError crash Fixed domain property 404 errors [0.2.0] — March 2026 dataState: "all" by default (matches GSC dashboard) Flexible row_limit parameter (up to 500) Multi-dimension filtering for advanced analytics [0.1.0] — Initial release 19 tools covering property management, search analytics, URL inspection, and sitemap management OAuth and service account authentication
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.