mcp-gsc is an MCP server that connects Google Search Console, a service for inspecting website search performance, to AI assistants so users can ask questions about SEO data in natural language. SEO professionals use it to analyze their Google Search Console data, and the catalogue entries provide related skills, a plugin, an instruction, and MCP configuration.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add AminForou/mcp-gsc --skill content-opportunitiesgit clone --depth 1 https://github.com/AminForou/mcp-gscWrote 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/skills/aminforou/mcp-gsc/content-opportunities)<a href="https://agentmods.dev/skills/aminforou/mcp-gsc/content-opportunities"><img src="https://agentmods.dev/badge/skills/aminforou/mcp-gsc/content-opportunities/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aminforou/mcp-gsc/content-opportunities"><img src="https://agentmods.dev/badge/skills/aminforou/mcp-gsc/content-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00332 |
| Opus 5 | $0.00016 | $0.00166 |
| Sonnet 5 | $0.00007 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
content-opportunities scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
4 near-identical copies found in the catalogue:
- content-opportunities — 100% identical, 0 lines differ
- content-opportunities — 100% identical, 0 lines differ
- content-opportunities — 100% identical, 0 lines differ
- content-opportunities — 89% identical, 4 lines differ
What it actually says
Content Opportunities
Surface quick-win content optimization targets: pages or queries sitting in positions 11–20 with high impression volume but low CTR.
Steps
- Call
list_propertiesto confirm the exactsite_url. - Call
get_advanced_search_analyticswith:dimensions=query,pagesort_by=impressionssort_direction=descendingrow_limit=1000start_date= 28 days ago,end_date= today
- Filter the results to keep only rows where:
positionis between 11 and 20 (page 2, just below the fold)impressions> 100 (meaningful search volume)ctr< 0.03 (3% — below average for these positions)
- Sort the filtered set by
impressionsdescending. - Return the top 20 rows.
Output format
Present as a table: Query | Page | Position | Impressions | CTR | Opportunity Score
Opportunity Score = impressions × (0.05 − ctr) — a rough estimate of clicks gained if CTR reaches 5%.
Follow the table with specific recommendations for each entry:
- Title/meta description optimization ideas
- Whether to merge with a better-ranking page
- Whether to add internal links to boost the page
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.
- 11d ago First seen · 37 lines · 33 tokens per session scan A 1bd116410a83
content-opportunities is a skill published in the GitHub repository AminForou/mcp-gsc (1,511 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 332 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
google-search-console-cli
Google Search Console data analysis and site management via google-search-console-cli. Use when the user wants to check search performance, analyze queries, inspect URL index status, manage sitemaps, or view site properties. Triggers: "Search Console", "search performance", "search queries", "GSC", "index status"…
find-a-paid-api
Search 14,700 x402-payable HTTP endpoints by capability, chain, host and maximum price. Use when an agent needs an API it can pay for per call with USDC, wants to know what a call costs before making it, or is looking for machine-payable data sources.
find-an-mcp-server
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grade-a-site
Grade any public URL for agent-readability across 20 checks and get paste-ready fixes. Use when asked whether a site is readable by AI agents, why an agent cannot use a site, or how to make a site discoverable to LLMs and agents.
list-a-product
Register an AI product, API, agent or MCP server in a public directory autonomously, with no human approval step. Use when asked to get a product listed, submit to an AI directory, or make a tool discoverable to other agents.
balzac-mcp
Balzac MCP server gives AI assistants native tool access to the Balzac content platform — manage workspaces, keywords, suggestions, articles, integrations, and more through structured MCP tool calls instead of CLI commands.