CCM
/MCP
SkillsMCPMarketplacesDigestLearnAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Learn
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Gemini

jamubc/gemini-mcp-tool
2.2k
Summary

Gemini MCP Tool provides an MCP server that enables AI assistants like Claude to interact with the Google Gemini CLI, allowing them to leverage Gemini's large context window for analyzing large files and codebases. The server exposes tools that let Claude ask natural language questions to Gemini and offload token-intensive analysis tasks, solving the problem of token limitations when working with large documents or code repositories. It supports the `@` syntax for directing analysis and can be installed via npm or configured in Claude Desktop for seamless integration.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →

Gemini MCP Tool

GitHub Release npm version npm downloads License: MIT Open Source

📚 View Full Documentation - Search me!, Examples, FAQ, Troubleshooting, Best Practices

This is a simple Model Context Protocol (MCP) server that allows AI assistants to interact with the Gemini CLI. It enables the AI to leverage the power of Gemini's massive token window for large analysis, especially with large files and codebases using the @ syntax for direction.

  • Ask gemini natural questions, through claude or Brainstorm new ideas in a party of 3!
Gemini Tool MCP server

TLDR: Claude + Gemini(Google Antigravity CLI)

Goal: Use Gemini's powerful analysis capabilities directly in Claude Code to save tokens and analyze large files.

Prerequisites

🚀 Important: Gemini CLI is retired. This tool now defaults to Antigravity CLI (`agy`)

On 2026-06-18, Google retired the Gemini CLI for free, Google AI Pro, and Google AI Ultra users (and individual Gemini Code Assist / GitHub-org users). Its successor is the Antigravity CLI (agy). See Google's announcement.

From 2026-06-18 this tool selects the agy backend automatically. If you are on an affected tier, just install agy:

curl -fsSL https://antigravity.google/cli/install.sh | bash   # macOS / Linux

Then run agy once to sign in. Nothing else to change.

Enterprise / Standard-license or paid-API-key user? Your Gemini CLI access is unaffected by the retirement. To keep using it, set one env var on the MCP server:

GEMINI_MCP_BACKEND=gemini
VariablePurpose
GEMINI_MCP_BACKENDgemini or agy/antigravity. Unset uses the date-aware default (agy from 2026-06-18).
AGY_CLI_PATHFull path to the agy binary if it isn't on the server's PATH.
GEMINI_MCP_TIMEOUTOverall CLI run timeout in minutes (default 45).

The agy backend is experimental: print mode is Gemini 3.5 Flash-only, replies come from agy's stdout (transcript recovery only as a fallback), and tool execution isn't sandboxed in -p. The tool emits a notice when a requested model/sandbox can't be honored, and surfaces agy's own errors (quota, auth) verbatim. Full analysis: docs/migration/antigravity-cli.md.

Before using this tool, ensure you have:

  1. Node.js (v16.0.0 or higher)
  2. Google Gemini CLI installed and configured

One-Line Setup

claude mcp add gemini-cli -- npx -y gemini-mcp-tool
For Windows users

Use -- y instead of -y:

claude mcp add gemini-cli -- npx -- y gemini-mcp-tool

Verify Installation

Type /mcp inside Claude Code to verify the gemini-cli MCP is active.


Alternative: Import from Claude Desktop

If you already have it configured in Claude Desktop:

  1. Add to your Claude Desktop config:
"gemini-cli": {
  "command": "npx",
  "args": ["-y", "gemini-mcp-tool"]
}
  1. Import to Claude Code:
claude mcp add-from-claude-desktop

Configuration

Register the MCP server with your MCP client:

For NPX Usage (Recommended)

Add this configuration to your Claude Desktop config file:

{
  "mcpServers": {
    "gemini-cli": {
      "command": "npx",
      "args": ["-y", "gemini-mcp-tool"]
    }
  }
}

For Global Installation

If you installed globally, use this configuration instead:

{
  "mcpServers": {
    "gemini-cli": {
      "command": "gemini-mcp"
    }
  }
}

Configuration File Locations:

  • Claude Desktop:
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
    • Linux: ~/.config/claude/claude_desktop_config.json

After updating the configuration, restart your terminal session.

Example Workflow

  • Natural language: "use gemini to explain index.html", "understand the massive project using gemini", "ask gemini to search for latest news"
  • Claude Code: Type /gemini-cli and commands will populate in Claude Code's interface.

Usage Examples

With File References (using @ syntax)

  • ask gemini to analyze @src/main.js and explain what it does
  • use gemini to summarize @. the current directory
  • analyze @package.json and tell me about dependencies

General Questions (without files)

  • ask gemini to search for the latest tech news
  • use gemini to explain div centering
  • ask gemini about best practices for React development related to @file_im_confused_about

Using Gemini CLI's Sandbox Mode (-s)

The sandbox mode allows you to safely test code changes, run scripts, or execute potentially risky operations in an isolated environment.

  • use gemini sandbox to create and run a Python script that processes data
  • ask gemini to safely test @script.py and explain what it does
  • use gemini sandbox to install numpy and create a data visualization
  • test this code safely: Create a script that makes HTTP requests to an API

Tools (for the AI)

These tools are designed to be used by the AI assistant.

  • ask-gemini: Asks Google Gemini for its perspective. Can be used for general questions or complex analysis of files.
    • prompt (required): The analysis request. Use the @ syntax to include file or directory references (e.g., @src/main.js explain this code) or ask general questions (e.g., Please use a web search to find the latest news stories).
    • model (optional): The Gemini model to use. Defaults to gemini-2.5-pro.
    • sandbox (optional): Set to true to run in sandbox mode for safe code execution.
  • sandbox-test: Safely executes code or commands in Gemini's sandbox environment. Always runs in sandbox mode.
    • prompt (required): Code testing request (e.g., Create and run a Python script that... or @script.py Run this safely).
    • model (optional): The Gemini model to use.
  • Ping: A simple test tool that echoes back a message.
  • Help: Shows the Gemini CLI help text.

Slash Commands (for the User)

You can use these commands directly in Claude Code's interface (compatibility with other clients has not been tested).

  • /analyze: Analyzes files or directories using Gemini, or asks general questions.
    • prompt (required): The analysis prompt. Use @ syntax to include files (e.g., /analyze prompt:@src/ summarize this directory) or ask general questions (e.g., /analyze prompt:Please use a web search to find the latest news stories).
  • /sandbox: Safely tests code or scripts in Gemini's sandbox environment.
    • prompt (required): Code testing request (e.g., /sandbox prompt:Create and run a Python script that processes CSV data or /sandbox prompt:@script.py Test this script safely).
  • /help: Displays the Gemini CLI help information.
  • /ping: Tests the connection to the server.
    • message (optional): A message to echo back.

Contributing

Contributions are welcome! Please see our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Disclaimer: This is an unofficial, third-party tool and is not affiliated with, endorsed, or sponsored by Google.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Categories
AI & LLM Tools
UpdatedDec 15, 2025
View on GitHub

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f