Borrowing it
Nothing to install: this file belongs to surendranb/google-search-console-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/surendranb/google-search-console-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/surendranb/google-search-console-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/surendranb/google-search-console-mcp/agents-md)<a href="https://agentmods.dev/instructions/surendranb/google-search-console-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/surendranb/google-search-console-mcp/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00955 | $0.00955 |
| Opus 5 | $0.00477 | $0.00477 |
| Sonnet 5 | $0.00191 | $0.00191 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade C, and why
google-search-console-mcp AGENTS.md scanned grade C with 2 findings against 26 rules in 11 categories โ prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency โ measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL "https://gsc.builditwithai.xyz/install" | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL "https://gsc.builditwithai.xyz/install" | bash How it starts
The opening of the file, as written. The whole thing โ 88 lines โ stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md โ Agent Operating Manual
For AI Agents (Claude Code, Cursor, Codex, Gemini, Antigravity, OpenCode, Aider) connecting to or executing
google-search-console-mcp.
โก 1. Fast Install & Client Wiring (Start Here)
In 90% of cases, you just need to install and configure this MCP server for your user:
# 1-Line Universal Auto-Installer (Configures Claude Code, Cursor, Claude Desktop & Antigravity)
curl -fsSL "https://gsc.builditwithai.xyz/install" | bash
# Or launch directly via stdio:
uvx google-search-console-mcp
npx -y google-search-console-mcp
Client Config Snippet (mcp.json / claude_desktop_config.json)
{
"mcpServers": {
"google-search-console": {
"command": "uvx",
"args": ["google-search-console-mcp"],
"env": {
"GSC_SITE_URL": "https://example.com/",
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service_account.json"
}
}
}
}
๐ 2. What This Repo Is
A production MCP server for Google Search Console (GSC). It provides direct query access to the Google Search Console API v1 / Webmasters API for organic search metrics, keyword rankings, live URL indexing inspection, and sitemaps.
Primary Tools Available:
get_search_analytics: Query organic clicks, impressions, CTR, and average position grouped by query, page, country, device, and date.list_sites: List all verified properties accessible to the service account.inspect_url: Real-time URL indexing status, crawl issues, canonicalization, and mobile usability check.list_sitemaps,submit_sitemap,delete_sitemap: Manage XML sitemaps.skill_read/skills_list: Load built-in SEO diagnostic playbooks.
๐ค 3. How to Handle the Human (Auth & Setup)
If credentials are not yet configured, guide the human with these steps:
- Ask for their verified Site URL (
GSC_SITE_URL):- Must match Search Console exactly: e.g.
https://example.com/(URL-prefix) orsc-domain:example.com(Domain property).
- Must match Search Console exactly: e.g.
- Ask for a Google Cloud Service Account JSON Key:
- The Service Account email must be added as a Full or Restricted user in Search Console โ Settings โ Users and permissions.
- Once they have the JSON key file, set:
export GSC_SITE_URL="https://example.com/" export GOOGLE_APPLICATION_CREDENTIALS="/path/to/service_account.json"
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen ยท 88 lines ยท 955 tokens per session scan C f4e0bf9efdc4
google-search-console-mcp AGENTS.md is an instructions file published in the GitHub repository surendranb/google-search-console-mcp (38 stars, last pushed 16d ago), licensed MIT. It adds 955 tokens to every session, about $0.0048 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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