twitter-automation
Generates AI images using Google AI (Gemini) for tweets.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@twitter-automationGenerate a photo of a sunset and post it."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Twitter Automation MCP Server
A Model Context Protocol (MCP) server that enables Claude to automate Twitter posting with AI-generated images and thread support.
Features
๐จ AI Image Generation - Generate images using Google AI Gemini 2.0 Flash
๐ URL Image Support - Add images from URLs
๐ฆ Twitter Integration - Full Twitter API v2 support with media upload
๐งต Thread Support - Automatic thread creation with proper reply chains
๐ Length Validation - Prevents 280+ character tweets with clear error messages
๐ Auto Upload - Images automatically upload when posting tweets
Related MCP server: Twitter MCP Server
Quick Start
1. Install Package
npm install -g twitter-automation-mcp2. Get API Keys
Twitter API Keys: Follow this guide to generate your Twitter API keys and tokens: ๐ Generate Twitter API Keys & Tokens
Google AI API Key: Get your key from Google AI Studio
3. Configure Claude Desktop
Add to your Claude Desktop MCP config:
Option A: Using NPM Package (Recommended)
{
"mcpServers": {
"twitter-automation": {
"command": "npx",
"args": ["twitter-automation-mcp"],
"env": {
"TWITTER_API_KEY": "your_api_key",
"TWITTER_API_SECRET": "your_api_secret",
"TWITTER_ACCESS_TOKEN": "your_access_token",
"TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret",
"GOOGLE_AI_API_KEY": "your_google_ai_key"
}
}
}
}Option B: Using Local Installation
{
"mcpServers": {
"twitter-automation": {
"command": "node",
"args": ["path/to/twitter-automation/dist/index.js"],
"env": {
"TWITTER_API_KEY": "your_api_key",
"TWITTER_API_SECRET": "your_api_secret",
"TWITTER_ACCESS_TOKEN": "your_access_token",
"TWITTER_ACCESS_TOKEN_SECRET": "your_access_token_secret",
"GOOGLE_AI_API_KEY": "your_google_ai_key"
}
}
}
}4. Restart Claude Desktop
Restart Claude Desktop to load the MCP server.
Usage
Simple Tweet
Post this tweet: "Hello world! ๐ #FirstTweet"Tweet with AI-Generated Image
Generate an image of a robot coding, then post: "AI is the future! ๐ค๐ป"Tweet with URL Image
Add this image https://example.com/image.jpg then post: "Check this out!"Twitter Thread
Post this tweet: "Here's what I learned about AI ๐งต"
With thread: ["First insight about machine learning", "Second point about neural networks"]Thread with Images
Generate an image "AI brain" for the main tweet
Add URL image https://example.com/chart.jpg for thread tweet 1
Then post the threadAvailable Tools
generateImages- Generate AI images for specific tweets in threadaddImageFromUrl- Add existing images from URLs to specific tweetspostTweet- Post tweets with automatic image upload and validation
Error Handling
The server provides clear error messages:
Length validation: "Main tweet content is 287 characters, which exceeds the 275 character limit"
Missing credentials: Clear indication of which API keys are missing
Twitter API errors: Descriptive error messages with context
Requirements
Node.js 18+
Twitter Developer Account with Read & Write permissions
Google AI Studio API access
Troubleshooting
"403 Forbidden" errors: Ensure your Twitter app has Read & Write permissions and regenerate access tokens after changing permissions.
"Image upload failed": Check that your images are valid PNG/JPG files under 5MB.
"Content too long": Each tweet must be under 275 characters. Split long content into thread tweets.
Deployment
Want to deploy this MCP server or run it in a container?
๐ See DEPLOYMENT.md for deployment options:
NPM Package - Publish and use with
npx(recommended)Docker Container - Run in isolated environment with full environment variable setup
License
MIT
This server cannot be deployed
Maintenance
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