SocialPulse AI
AI 기반 소셜 미디어 분석 및 자동화 도구로, TensorFlow.js로 구축되었습니다. 이 서버는 감정 분석, 유해성 탐지, 참여도 예측, 콘텐츠 클러스터링을 포함한 머신러닝 도구 모음을 제공하여 YouTube, Instagram, Twitter와 같은 여러 플랫폼에서의 상호작용을 분석합니다. 데이터 프라이버시와 저지연 처리를 위해 로컬에서 작동합니다. 기능: 크로스 플랫폼 지원, 로컬 ML 모델 실행, x402 수익화 준비 완료.
문서
TensorFlow.js Social Media MCP Server
A comprehensive suite of machine learning tools for analyzing and automating interactions across multiple social media platforms, built on TensorFlow.js and powered by the Model Context Protocol (MCP).
This server performs ML-based analytics locally (e.g., sentiment analysis, toxicity detection, engagement prediction, content clustering) without relying on external cloud-based AI services, ensuring data privacy and low-latency processing.
Key Features
- Cross-Platform Support: Tools for YouTube, Instagram, TikTok, Twitter, Facebook, Discord, Twitch, Reddit, LinkedIn, Threads, Bluesky, Mastodon, GitHub, Spotify, and Pinterest.
- Local Machine Learning: Powered by TensorFlow.js (MobileNet, COCO-SSD, Universal Sentence Encoder, etc.).
- Monetization Ready: Integrated x402 protocol for charging per tool call via Solana (devnet/mainnet).
- Extensible: Easily add new tools via
lib/modules andtool-registry.js. - Ready for Agents: Full OpenAPI 3.0 specification for seamless integration with AI agents.
Setup Requirements
Prerequisites
- Node.js v18+
Configuration
Copy .env.example to .env and configure the following:
| Variable | Description | Default |
|---|---|---|
PAY_TO_ADDRESS | Solana wallet address to receive x402 payments. | REQUIRED |
FACILITATOR_URL | x402 facilitator URL. | https://x402.org/facilitator |
X402_PRICE_USD | Price per tool call in USD. | 0.005 |
X402_NETWORK | Payment network (devnet or mainnet). | devnet |
PUBLIC_ORIGIN | Public URL for the server (needed for discovery). | http://localhost:6350 |
Installation
npm install
Running the Server
Start the MCP Server
npm run mcp
Start all services (MCP, REST, Worker)
npm run start:all
Start the TUI
npm run tui
API Documentation
The server exposes an OpenAPI 3.0 specification at http://localhost:6350/openapi.json.
See readme.txt in the root for a summary of available endpoints.
Contributing
- Fork the repository.
- Create your feature branch.
- Commit your changes.
- Push to the branch.
- Open a Pull Request.
License
MIT