Gemini Email Generator
A powerful Model Context Protocol (MCP) server that leverages Google's Gemini Flash 2 AI model to generate engaging email subjects and detailed thinking processes. This tool integrates seamlessly with Claude Desktop to provide intelligent email subject generation and advanced content creation.
Gemini Email Subject Generator MCP
A powerful Model Context Protocol (MCP) server that leverages Google's Gemini Flash 2 AI model to generate engaging email subjects and detailed thinking processes. This tool integrates seamlessly with Claude Desktop to provide intelligent email subject generation and advanced content creation.
🌟 Features
1. Email Tool with AI Subject Generation (send-email)
- Sends emails with AI-generated subjects using Gemini Flash 2
- Features:
- Dynamic subject generation based on provided prompt
- Support for HTML and plain text email content
- Image attachments with inline display capability
- Secure authentication using environment variables
- Error handling and status reporting
- Fully customizable content with rich formatting options
- Instant delivery with message tracking
2. Thinking Generation Tool (generate-thinking)
- Generates detailed thinking process text using Gemini's Flash 2 model
- Supports complex reasoning and analysis
- Saves responses with timestamps
- Customizable output directory
- Ideal for brainstorming, planning, and content creation
🚀 Quick Start
Prerequisites
- Node.js (v16 or higher)
- TypeScript
- Claude Desktop
- Google Gemini API Key
- SMTP Email Account (for email functionality)
Installation
- Clone and setup:
git clone [your-repo-url]
cd gemini-email-subject-generator
npm install
- Create
.envfile:
GEMINI_API_KEY=your_api_key_here
[email protected]
NODEMAILER_PASSWORD=your_app_password_here
- Build the project:
npm run build
Claude Desktop Configuration
- Create/Edit
%AppData%/Claude/claude_desktop_config.json:
{
"mcpServers": {
"Gemini Email Generator": {
"command": "node",
"args": ["path/to/gemini-email-subject-generator/dist/index.js"],
"cwd": "path/to/gemini-email-subject-generator",
"env": {
"GEMINI_API_KEY": "your_api_key_here",
"NODEMAILER_EMAIL": "[email protected]",
"NODEMAILER_PASSWORD": "your_app_password_here"
}
}
}
}
- Restart Claude Desktop
📊 Using the Tools
Email Sending with AI Subject Generation
{
"name": "send-email",
"arguments": {
"to": "[email protected]",
"subjectPrompt": "Create a catchy subject line for a marketing email about our new AI-powered analytics platform",
"text": "Hello! This is the plain text version of our email.",
"html": "<h1>Hello!</h1><p>This is the <b>HTML</b> version of our email with an inline image: <img src="https://raw.githubusercontent.com/falahgs/Gemini-Email-Subject-Generator-MCP/main/cid:image0"/></p>",
"images": [
{
"name": "chart.png",
"data": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA..."
}
]
}
}
Important Note About Email Tool: When you use the
send-emailtool, Claude will display a confirmation message that the email was sent successfully. This confirmation message is NOT the content of the email - it's just feedback to you that the operation succeeded. The actual email sent to the recipient will contain only the content you specified in thetextandhtmlfields, with the subject generated by Gemini based on your prompt.
Thinking Generation
{
"name": "generate-thinking",
"arguments": {
"prompt": "Your complex analysis prompt here",
"outputDir": "./custom_output"
}
}
📁 Output Structure
output/
└── thinking/
└── gemini_thinking_[timestamp].txt
🛠️ Development
Available Scripts
npm run build: Compile TypeScript to JavaScriptnpm run start: Start the MCP servernpm run dev: Run in development mode with ts-node
Environment Variables
GEMINI_API_KEY: Your Google Gemini API keyNODEMAILER_EMAIL: Your email address for sending emailsNODEMAILER_PASSWORD: Your email app password (for Gmail, use an app password)
🔒 Security Notes
- Store your API keys securely
- Don't share your
.envfile - For Gmail, use app passwords instead of your main account password
- Be careful with the content of emails sent through the system
- Never include sensitive or personal information in email examples
🐛 Troubleshooting
Common Issues
-
API Key Error
- Verify
.envfile exists - Check API key validity
- Ensure proper environment loading
- Verify
-
Claude Desktop Connection
- Verify config.json syntax
- Check file paths in config
- Restart Claude Desktop
-
Email Sending Issues
- Check that NODEMAILER_EMAIL and NODEMAILER_PASSWORD are set correctly
- For Gmail, ensure you've created an app password
- Verify that less secure app access is enabled for non-Gmail providers
- Check recipient email address format
- Ensure image data is properly formatted as data URI (data:image/type;base64,)
Debug Mode
Add DEBUG=true to your .env file for verbose logging:
GEMINI_API_KEY=your_key_here
DEBUG=true
📚 API Reference
Email Sending Tool
interface SendEmailParams {
to: string; // Recipient email address
subjectPrompt: string; // Prompt for generating email subject
text: string; // Plain text version of email
html?: string; // HTML version of email (optional)
images?: { // Optional images to attach
name: string; // Image filename
data: string; // Base64 encoded image data
}[];
}
Thinking Generation Tool
interface GenerateThinkingParams {
prompt: string; // Analysis prompt
outputDir?: string; // Optional output directory
}
🤝 Contributing
- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Create a Pull Request
📄 License
MIT License - See LICENSE file for details
Recommend MCP Servers 💡
zendesk-mcp-server-kon
A Model Context Protocol server for Zendesk, providing tools for ticket and community post management, specialized prompts, and access to Help Center articles.
chunker-mcp
A MCP server that chunks source code files with LangChain and stores chunks in ChromaDB with line range metadata.
@modelcontextprotocol/server-filesystem
A Node.js server implementing the Model Context Protocol (MCP) to enable AI models to perform various filesystem operations, including reading, writing, creating, listing, moving, searching files and directories, and retrieving file metadata, with dynamic access control via MCP Roots.
libvirt-mcp
An experimental Model Context Protocol (MCP) server designed to integrate with Libvirt for managing virtual machines.
3loka/consul-mcp-server
A Model Control Protocol (MCP) server for interacting with HashiCorp Consul service discovery and service mesh, enabling Claude to analyze microservices architecture, create diagrams, identify issues, and provide recommendations through natural language.
TharanaBope/whatsapp-mcp-n8n
A Model Context Protocol (MCP) server that enables AI agents to interact with WhatsApp, including searching messages, managing contacts, and sending messages/media.