serp-snapshot

serp-snapshot is a command for Claude Code, Cursor from HasData/google-search-mcp. It costs 18 tokens per session (242 once invoked), scanned A, original, MIT.

A command that records what Google shows for a keyword in a specified country and language. It lists regular results, AI Overview sources, and “People Also Ask” questions when they appear.

In plain words
What is it for?
Use it to inspect competitors, search intent, and the page elements shown for a keyword. It reports rankings, ads, shopping, video, and other visible result types.
Why use it?
It avoids relying on assumed search results or silently using the wrong market. You get a factual snapshot of the search page instead of a general description of what might appear.

Command for Claude CodeCursor

Written for Cursor and Claude Code: shipped in a Cursor plugin, but also a Claude Code command (commands/*.md).

Part of the hasdata-google-search-mcp plugin — 1 command, 1 MCP server shipped together

Good fit Use it to inspect competitors, search intent, and the page elements shown for a keyword. It reports rankings, ads, shopping, video, and other visible result types.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/hasdata/google-search-mcp/serp-snapshot
Install

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.

Clone the repo
git clone --depth 1 https://github.com/HasData/google-search-mcp

Made for: Claude Code, Cursor.

Or install hasdata-google-search-mcp, the plugin that ships this one along with the rest of its 1 command, 1 MCP server.

Wrote 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.

agentmods badge for serp-snapshot

README.md
[![agentmods](https://agentmods.dev/badge/commands/hasdata/google-search-mcp/serp-snapshot/github.svg)](https://agentmods.dev/commands/hasdata/google-search-mcp/serp-snapshot)
Your own site
<a href="https://agentmods.dev/commands/hasdata/google-search-mcp/serp-snapshot"><img src="https://agentmods.dev/badge/commands/hasdata/google-search-mcp/serp-snapshot/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.

agentmods 80×15 button for serp-snapshot

Your own site · 80×15
<a href="https://agentmods.dev/commands/hasdata/google-search-mcp/serp-snapshot"><img src="https://agentmods.dev/badge/commands/hasdata/google-search-mcp/serp-snapshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.00242
Opus 5.5 $0.00007 $0.00097
Sonnet 5.5 $0.00004 $0.00048
Haiku 4.5 $0.00002 $0.00024

Measured 23d ago against content hash c8bdd6530b24, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

serp-snapshot 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 23d 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.

commands/serp-snapshot.md · 18 lines

What it actually says

Take a keyword and report what Google actually shows for it.

Ask me for the keyword and the market if I have not given them. The market is a country and a language, and it changes the answer, so do not guess it silently.

Then:

  1. Call hasdata_google_serp_serp_getSearchResults with the keyword, location, gl and hl set to that market.
  2. List the top ten organic results as position, title and domain. Mark the ones that are our own domain if I named one.
  3. If the response carries an AI Overview block, expand it with hasdata_google_serp_ai_overview_getAiOverviewResponse using the pageToken from that block, and list the sources it cites.
  4. List the People Also Ask questions verbatim.
  5. Close with what the page is made of: how many organic results, whether ads, shopping, video or a knowledge panel are present.

Report what came back. If there is no AI Overview, say so rather than describing what usually appears.

Changes

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.

  1. 23d ago First seen · 18 lines · 18 tokens per session scan A c8bdd6530b24

Subscribe to this mod's changes

serp-snapshot is a command published in the GitHub repository HasData/google-search-mcp (17 stars, last pushed 4d ago), licensed MIT. It adds 18 tokens to every session and 242 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-23.