Which integrations are available for this server?

Leverages OpenAI's AI capabilities to analyze writing styles from existing text and generate automated tweet drafts for topics or images.

How do I use twitter-voice-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@twitter-voice-mcp generate 3 draft tweets about the future of AI in my voice" 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-voice-mcp

An MCP server that generates tweets in your unique voice and manages drafts for Twitter/X.

Features

Voice Analysis: Analyze your Twitter/X voice from existing tweets or custom text
AI-Powered Tweet Generation: Generate new tweets in your voice about any topic
Draft Management: Create, review, and post tweet drafts
Retweet Drafts: Generate voice-aligned comments for quote tweeting
Image Tweet Generation: Automatically generate tweets for images in a folder
Multi-AI Support: Works with Gemini, OpenAI, or Anthropic models

Installation

Prerequisites

Python 3.10+
Twitter/X API credentials (Bearer Token)
AI API key (Gemini, OpenAI, or Anthropic)

Setup

# Clone and navigate to directory git clone <repo-url> twitter-voice-mcp cd twitter-voice-mcp # Create virtual environment python3 -m venv .venv source .venv/bin/activate # Install dependencies pip install -r requirements.txt # Copy env template and add your credentials cp .env.example .env # Edit .env with your API keys

Environment Variables

GEMINI_API_KEY=your-gemini-key OPENAI_API_KEY=your-openai-key ANTHROPIC_API_KEY=your-anthropic-key TWITTER_BEARER_TOKEN=your-twitter-bearer-token

MCP Client Installation

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{ "mcpServers": { "twitter-voice-mcp": { "command": "python", "args": [ "/absolute/path/to/twitter-voice-mcp/src/server.py" ], "env": { "GEMINI_API_KEY": "your-key", "TWITTER_BEARER_TOKEN": "your-token" } } } }