Borrowing it
Nothing to install: this file belongs to epilande/gemini-grounding. 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/epilande/gemini-grounding/main/CLAUDE.mdgit clone --depth 1 https://github.com/epilande/gemini-groundingWrote 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/epilande/gemini-grounding/claude-md)<a href="https://agentmods.dev/instructions/epilande/gemini-grounding/claude-md"><img src="https://agentmods.dev/badge/instructions/epilande/gemini-grounding/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/epilande/gemini-grounding/claude-md"><img src="https://agentmods.dev/badge/instructions/epilande/gemini-grounding/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 | $0.00782 | $0.00782 |
| Opus 5.5 | $0.00313 | $0.00313 |
| Sonnet 5.5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
gemini-grounding 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 — 91 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 enables Claude Code to access real-time information through Google Gemini's native grounding capabilities. The server provides four specialized search tools for web search, developer resources, documentation lookup, and Reddit community discussions.
Development Commands
# Development (auto-reload)
pnpm dev
# Build TypeScript to JavaScript
pnpm run build
# Run compiled server
pnpm start
Environment Setup
Required environment variable:
GEMINI_API_KEY: Google Gemini API key (get from Google AI Studio)
Copy .env.example to .env and add your API key.
MCP Configuration
The server is configured via .mcp.json for integration with Claude Code:
- Server name:
gemini-grounding - Entry point:
build/index.js - Includes environment variable mapping for
GEMINI_API_KEY
Code Architecture
Core Components
src/index.ts: Main MCP server implementation
GroundingMCPServerclass handles MCP protocol- Registers four tools:
search_with_grounding,search_developer_resources,search_documentation,search_reddit - Uses stdio transport for communication with Claude Code
- Uses
gemini-2.5-flashmodel for responses
src/gemini-client.ts: Gemini API client
GeminiGroundingClientclass manages Gemini API interactions- Implements intelligent prompt engineering based on search focus
- Handles response formatting with automatic source citations
- Provides developer query enhancement and Reddit search filtering
Tool Implementation
The server provides four specialized search tools:
search_with_grounding: General search with intelligent focus- Parameters:
query(required),context(optional),focus(optional) - Focus options: "general", "code", "documentation", "troubleshooting"
- Parameters:
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 First seen · 91 lines · 782 tokens per session scan A f815b674c129
gemini-grounding CLAUDE.md is an instructions file published in the GitHub repository epilande/gemini-grounding (8 stars, last pushed 1y ago), licensed MIT. It adds 782 tokens to every session, about $0.0031 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.
gemini-grounding CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| gemini-grounding CLAUDE.mdepilande/gemini-grounding | Instructions file | 8 | 1y ago | MIT | A | 782 | 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 |