SocialPulse AI

Инструменты аналитики и автоматизации социальных медиа на основе ИИ, созданные с помощью TensorFlow.js. Этот сервер предоставляет набор инструментов машинного обучения, включая анализ тональности, обнаружение токсичности, прогнозирование вовлечённости и кластеризацию контента, для анализа взаимодействий на нескольких платформах, таких как YouTube, Instagram и Twitter. Он работает локально для обеспечения конфиденциальности данных и обработки с низкой задержкой. Возможности: поддержка кросс-платформенности, локальное выполнение моделей ML, готовность к монетизации x402.

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Документация

TensorFlow.js Social Media MCP Server

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 and tool-registry.js.
  • Ready for Agents: Full OpenAPI 3.0 specification for seamless integration with AI agents.

Setup Requirements

Prerequisites

Configuration

Copy .env.example to .env and configure the following:

VariableDescriptionDefault
PAY_TO_ADDRESSSolana wallet address to receive x402 payments.REQUIRED
FACILITATOR_URLx402 facilitator URL.https://x402.org/facilitator
X402_PRICE_USDPrice per tool call in USD.0.005
X402_NETWORKPayment network (devnet or mainnet).devnet
PUBLIC_ORIGINPublic 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

  1. Fork the repository.
  2. Create your feature branch.
  3. Commit your changes.
  4. Push to the branch.
  5. Open a Pull Request.

License

MIT