Borrowing it
Nothing to install: this file belongs to gregpriday/ask-google-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/gregpriday/ask-google-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/gregpriday/ask-google-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/gregpriday/ask-google-mcp/claude-md)<a href="https://agentmods.dev/instructions/gregpriday/ask-google-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gregpriday/ask-google-mcp/claude-md/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/instructions/gregpriday/ask-google-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/gregpriday/ask-google-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.02380 | $0.02380 |
| Opus 5.5 | $0.00952 | $0.00952 |
| Sonnet 5.5 | $0.00476 | $0.00476 |
| Haiku 4.5 | $0.00238 | $0.00238 |
Grade A, and why
ask-google-mcp CLAUDE.md 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
This is a Model Context Protocol (MCP) server that provides AI-powered Google search using Gemini with search grounding. It enables Claude Desktop and other MCP clients to perform real-time web searches with AI-synthesized answers and citations.
Key Technologies:
- MCP SDK (
@modelcontextprotocol/sdk) for stdio server transport and JSON-RPC 2.0 communication - Google Generative AI SDK (
@google/generative-ai) for Gemini API integration - Node.js native test runner for unit/integration testing
- ES modules (
type: "module"in package.json)
Development Commands
Running the Server
npm start # Start MCP server
npm run start:checked # Validate .env first, then start
npm run dev # Auto-reload mode with --watch flag
Testing
npm test # Unit tests only (test/unit/**/*.test.js)
npm run test:integration # Integration test with live Gemini API
npm run test:all # All tests (unit + integration)
Running a single test file:
node --test test/unit/tool-handler.test.js
Environment & Security
npm run check-env # Validate .env configuration
npm run security:audit # Check for vulnerabilities
npm run security:fix # Auto-fix security issues
npm run security:update # Update deps and audit
Architecture
MCP Server Design
The server implements a single-tool MCP server following the stdio transport pattern:
-
Server Initialization (src/index.js:117-128)
- Creates MCP Server instance with name/version metadata
- Declares
toolscapability - Connects to StdioServerTransport for JSON-RPC communication
-
Tool Registration (src/index.js:131-176)
- Handles
ListToolsRequestSchemato expose theask_googletool - Tool description is optimized for AI agent invocation with clear trigger phrases
- Input schema includes validation rules and examples
- Handles
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.
- 2mo ago Changed da3a72e6a466
- 2mo ago First seen · 183 lines · 2,380 tokens per session scan A 62c9b64d3118
ask-google-mcp CLAUDE.md is an instructions file published in the GitHub repository gregpriday/ask-google-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 2,380 tokens to every session, about $0.0095 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 2026-08-31.
ask-google-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ask-google-mcp CLAUDE.mdgregpriday/ask-google-mcp | Instructions file | 1 | 2mo ago | MIT | A | 2,380 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |