Sponsored by Deepsite.site

🐦✨ MCP Twitter Post System

Created By
siddreddy076 months ago
Content

🐦✨ MCP Twitter Post System

Welcome to the MCP Twitter Post System — your go-to tool for launching tweets into the Twitterverse with real-time flair! 🚀 Powered by Node.js, Server-Sent Events (SSE), and the Twitter API, this project is neatly split into client/ and server/ folders for a smooth, organized workflow. Get ready to tweet like a rockstar! 🌟


📂 Project Structure

Here's the blueprint of the MCP Twitter Post System:

PathDescription
client/🌐 The MCP Client, your tweet-launching control hub
client/index.js🚀 Fires off real-time tweet commands to the server
server/🛠️ The MCP Server, the genius behind the scenes
server/index.js🖥️ Runs the HTTP server and SSE wizardry
server/mcptools.js🐦 Crafts tweets with Twitter API magic
.env🔒 Safely stores your Twitter API keys
README.md📖 You're soaking in this epic guide right now!

🎉 Features That Make Tweeting a Blast

  • Real-Time Tweet Action: Send tweets straight from your command line in a flash!
  • 📡 Seamless SSE Connection: Client and server vibe together with Server-Sent Events.
  • 🐦 Twitter API Power: Post tweets securely using the Twitter API.
  • 🧩 Clean Separation: Client and server logic are organized like a pro.
  • 🔐 Safe Secrets: API keys stay secure in a .env file.

🌟 Spotlight: The MCP Server

The MCP Server is the heart and soul of this project! 🛠️💥 Housed in the server/ folder, it’s the powerhouse that listens for your tweet commands, orchestrates real-time communication via SSE, and seamlessly integrates with the Twitter API to make your tweets soar. Running on index.js and powered by mcptools.js, the MCP Server ensures every tweet is crafted with precision and posted securely. It’s like having a tweet-slinging superhero at your command! 🦸‍♂️


🛠️ Setup: Let’s Launch Your Tweet Machine!

1. Clone the Repo

Dive into the Twitterverse by grabbing the code:

git clone https://github.com/siddreddy07/mcp-server-twitter-post.git
cd mcp-twitter-post

2. Install Dependencies (If Needed)

Hop into both client/ and server/ folders and run:

npm install

No package.json? Skip this step and keep the tweet party rolling! 🎉

3. Configure Your Twitter API Keys

Create a .env file in the server/ folder and add your Twitter API credentials:

API_KEY=your_twitter_app_key
API_SECRET_KEY=your_twitter_app_secret
ACCESS_TOKEN=your_twitter_access_token
ACCESS_SECRET_TOKEN=your_twitter_access_secret

Pro Tip: Snag these keys from the Twitter Developer Portal!


🚀 Running the Project

Start the MCP Server

Launch the MCP Server to handle your tweet requests:

cd server
npx nodemon index.js

Fire Up the MCP Client

Kick off the client to send tweets in real-time:

cd client
node index.js

Watch your CLI sparkle as your tweets take flight! 🐦✨


🧠 How It All Works

  1. Client (client/index.js): Your command center sends tweet data via HTTP or SSE. Type, hit enter, and BOOM — it’s off to the server! 🚀
  2. Server (server/index.js): The MCP Server catches client commands and directs the tweet-posting action.
  3. Tools (server/mcptools.js): Works the Twitter API magic to craft and post tweets with style.
  4. Security: API keys stay locked in the .env vault, safe from prying eyes. 🔒

⚙️ Tech Stack That Rocks

  • Node.js: The engine driving this tweet-tastic journey.
  • Express (or native HTTP): Powers the MCP Server with slick efficiency.
  • Server-Sent Events (SSE): Keeps client-server communication lightning-fast.
  • Twitter API: Via twitter-api-v2 (or your favorite Twitter package).
  • Dotenv: Keeps your API keys cozy and secure. 😎

📝 Quick Tips for Tweet Domination

  • 🛡️ Ensure your Twitter Developer account is active and your app is approved.
  • 🔥 Use nodemon for hot-reloading to keep the MCP Server development smooth.
  • 💡 Check the CLI for real-time tweet feedback.
  • 🌐 Explore the Twitter API Docs for advanced tweaks.

🐛 Bugs or Brilliant Ideas?

We’re all about making this project shine! 🌟 Open an issue, submit a pull request, or tweet us your thoughts (manually for now 😉) to join the fun.


Happy Tweeting! 🎉

Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
Playwright McpPlaywright MCP server
Amap Maps高德地图官方 MCP Server
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Serper MCP ServerA Serper MCP Server
DeepChatYour AI Partner on Desktop
Tavily Mcp
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题; Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
ChatWiseThe second fastest AI chatbot™
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
WindsurfThe new purpose-built IDE to harness magic
CursorThe AI Code Editor
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.