gemini-mcp

🥈Silver

Gemini-MCP enables Claude Code to interact with Google's Gemini models. Operations teams can automate workflows by connecting these AI systems. It integrates with TypeScript-based tools and supports CLI for easy management.

180190Updated 3d ago

Intermediate30min to implementautomation

Saves ~180 min per use

Quick InstallView Source

git clone https://github.com/RLabs-Inc/gemini-mcp.git

Works with:

Claude

Overview

About This Skill

How to Use

1. **Install gemini-mcp**: Ensure gemini-mcp is installed and configured in your Claude Code environment. Run `npm install -g @modelcontextprotocol/gemini-mcp` to install the tool. 2. **Prepare Inputs**: Gather the data or context required for your task. For example, if analyzing logs, ensure the log file is accessible. Use `gemini-mcp --help` to verify the tool is ready. 3. **Execute the Command**: Use the prompt template to craft your request. Replace [TASK] and [SPECIFIC_ACTION] with your requirements. Example: `gemini-mcp "Analyze the Kubernetes pod logs in /var/log/pods/app-1234.log. Identify pod restarts, error patterns, and suggest scaling adjustments."` 4. **Process Output**: Review the generated output. For complex tasks, break them into smaller steps (e.g., analyze logs first, then generate a report). Use the `--output-format` flag if supported to customize the response format. 5. **Iterate**: If the output isn't actionable, refine your prompt. For example, ask the model to prioritize issues or provide code snippets for fixes. Save common prompts in a script for reuse.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/RLabs-Inc/gemini-mcp

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Use the gemini-mcp tool to [TASK]. Execute the following steps: 1) Connect to the Gemini model via gemini-mcp, 2) Provide the required inputs or context, 3) Process the output to [SPECIFIC_ACTION]. Example: 'Use gemini-mcp to analyze the latest server logs in /var/log/app.log. Identify any critical errors, their frequency, and suggest remediation steps. Format the output as a markdown report with sections for errors, root causes, and action items.'

Example Output

```markdown
# Server Log Analysis Report
**Generated:** 2024-05-20 14:30:00 UTC
**Source:** /var/log/app.log
**Analysis Scope:** Last 24 hours

## Critical Errors Identified
1. **OutOfMemoryError** (5 occurrences)
   - **Timestamp:** 2024-05-20 02:15:23, 03:45:10, 08:30:19, 11:22:05, 13:55:47
   - **Affected Services:** `payment-service`, `user-auth-service`
   - **Root Cause:** Heap memory exhaustion due to unoptimized batch processing in `payment-service`. The service attempts to load 10,000 records into memory instead of streaming them.

2. **NullPointerException** (3 occurrences)
   - **Timestamp:** 2024-05-20 05:12:18, 09:44:01, 12:33:55
   - **Affected Services:** `notification-service`
   - **Root Cause:** Missing null checks in the `sendEmail` method when processing user preferences. Occurs when a user has no email set but the system attempts to send a notification.

## Remediation Steps
1. **OutOfMemoryError**
   - Patch `payment-service` to use streaming for batch processing (target: 2024-05-21).
   - Increase JVM heap size to 4GB temporarily (until patch is deployed).
   - Monitor memory usage post-deployment using `jstat -gc <pid>`.

2. **NullPointerException**
   - Add null checks in `notification-service` (target: 2024-05-20 EOD).
   - Deploy hotfix to staging for validation.
   - Run automated tests to ensure no regressions.

## Next Actions
- [ ] Deploy memory patch to `payment-service` (assigned to DevOps team).
- [ ] Deploy null-check fix to `notification-service` (assigned to Backend team).
- [ ] Schedule a post-mortem for 2024-05-22 to review root causes and prevention strategies.

**Confidence Level:** High (errors are reproducible and logs are consistent).
```