Twitter Marketing MCP

<a href="https://glama.ai/mcp/servers/@rugvedp/Twitter-Marketing-MCP"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@rugvedp/Twitter-Marketing-MCP/badge" /> </a> # Twitter Marketing MCP This repository contains the **Twitter Marketing MCP**, a tool designed to streamline social media marketing tasks using Python. It includes features for tweeting, image generation, and web scraping. ## Video Demonstration Watch the video demonstration of the **Twitter Marketing MCP** in action: # Linkedin Post [Watch the video demonstration on LinkedIn](https://www.linkedin.com/posts/rugvedp_ai-twitterbot-automation-activity-7324008443239903232-lVWa?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAADawhcMB8OoVwx5oE_0k00nkpuwmA62Uzws) ## Features ### 1. **Tweet Posting** Post tweets with or without images directly to Twitter. ### 2. **Image Generation** Generate images based on text prompts using Google's Gemini API. ### 3. **Web Scraping** Perform localized Google-like searches using the Serper API. ## Installation 1. Clone the repository: ```bash git clone https://github.com/rugvedp/Twitter-Marketing-MCP.git cd Twitter-Marketing-MCP ``` 2. Install dependencies: ```bash pip install requirements.txt mcp install script.py ``` 3. Create a `.env` file with the following keys: ```env X_api_key=<your_twitter_api_key> X_api_key_sec=<your_twitter_api_secret> X_access_token=<your_twitter_access_token> X_access_token_sec=<your_twitter_access_token_secret> X_bearer_token=<your_twitter_bearer_token> GEMINI_API_KEY=<your_gemini_api_key> serper_api=<your_serper_api_key> ``` ## Usage Open your claude desktop you will see the Twitter Marketing MCP` is ready to use. If not then Copy paste the `config.json` into your claude_desktop_config.json ## Folder Structure ``` . ├── generated_images/ # Folder for storing generated images ├── script.py # MCP core logic ├── .env # Environment variables ├── requirements.txt # Python dependencies └── readme.md # Project documentation ``` ## License This project is licensed under the MIT License.