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 agentmods add instructions/mintmcqueen/gemini-mcp/claude-mdgit clone --depth 1 https://github.com/mintmcqueen/gemini-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/mintmcqueen/gemini-mcp/claude-md)<a href="https://agentmods.dev/instructions/mintmcqueen/gemini-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/mintmcqueen/gemini-mcp/claude-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 | $0.07786 | $0.07786 |
| Opus 5 | $0.03893 | $0.03893 |
| Sonnet 5 | $0.01557 | $0.01557 |
| Haiku 4.5 | $0.00779 | $0.00779 |
Grade A, and why
gemini-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 4d 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 — 850 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini MCP Server - Technical Documentation
Project Overview
Name: gemini-mcp Version: 0.5.0 Type: Model Context Protocol (MCP) Server Purpose: Provides MCP-compliant interface to Google's Gemini AI models including Gemini 3.1 Pro (default), Gemini 2.5 Pro, Gemini 2.5 Flash, and image generation models (Gemini 3 Pro Image, Gemini 2.5 Flash Image) with advanced file handling, conversation management, and multimodal capabilities.
Key Value Proposition:
- Gemini 3 Support: Default to Google's most intelligent model with state-of-the-art reasoning and multimodal understanding
- Image Generation: Text-to-image and image editing with Gemini 3 Pro Image (default) or Gemini 2.5 Flash Image
- Enables Claude Desktop and other MCP clients to leverage Gemini's thinking models and extended context windows
- Handles complex file upload workflows including batch processing, retry logic, and state monitoring
- Manages conversation sessions with full history tracking
- Supports multimodal interactions (text, images, documents, audio, video)
- Simple npx Installation: Works with
npx @mintmcqueen/gemini-mcp@latest- no global install required
Architecture
High-Level Component Flow
MCP Client (Claude Desktop)
↓
StdioServerTransport (stdin/stdout communication)
↓
MCP Server (Server class from @modelcontextprotocol/sdk)
↓
GeminiMCPServer (Custom implementation)
├── Resource Handlers (gemini://models/available, gemini://conversations/active, gemini://files/uploaded)
├── Tool Handlers (chat, generate_images, upload_file, batch_upload_files, list_files, get_file, delete_file, cleanup_all_files)
└── State Management (conversations Map, uploadedFiles Map, fileObjects Map)
↓
GoogleGenAI SDK (@google/genai)
↓
Gemini API (Google's REST API)
Core Components
1. GeminiMCPServer Class (src/index.ts:59-1138)
Main server orchestration class that manages:
- MCP protocol compliance via
@modelcontextprotocol/sdk - Request routing to appropriate handlers
- Internal state (conversations, uploaded files, file objects)
- Error handling and graceful shutdown
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.
- 4d ago First seen · 850 lines · 7,786 tokens per session scan A 2edb69cf5e8f
gemini-mcp CLAUDE.md is an instructions file published in the GitHub repository mintmcqueen/gemini-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 7,786 tokens to every session, about $0.0389 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 2026-08-31.
Other instructions, from other repositories
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Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.