Trendy Post MCP

Trendy Post MCP 🚀✨

A Model Context Protocol (MCP) service that:

1. Takes a screenshot from the user 📸
2. Uses OCR to extract text and analyze the image 🔍
3. Generates a trending Xiaohongshu-style post based on the content 📱💬

Features ✨

• Image Processing 🖼️: Extract text and analyze images
• Content Generation 📝: Create engaging Xiaohongshu-style posts
• LLM Integration 🧠: Uses AI to generate post styles, hashtags, and titles
• MCP Compatibility 🔌: Works with any MCP client

Setup 🛠️

This MCP uses the trendy_post_mcp conda environment with Python 3.12 and Surya OCR.

Usage 📋

Once the server is running, it can be used as an MCP service that provides functions for:

• Processing screenshots 📸
• Analyzing image content 🔍
• Generating trending social media posts in the style of Xiaohongshu 📱

MCP Functions

The server exposes the following MCP functions:

• process_screenshot: Extract text from an image URL 🔤
• generate_post: Create a Xiaohongshu post from image analysis data ✍️
• process_and_generate: Combine both functions in one step (recommended) 🔄
• health_check: Check if the server is running properly 🩺

Project Structure 📁

• server.py: Main MCP server implementation
• image_processor.py: Screenshot processing and OCR functionality
• post_generator.py: Xiaohongshu post generation logic
• requirements.txt: Python dependencies

Dependencies 📦

OCR Engine

This project uses Surya OCR for text extraction, which is licensed under the GPL-3.0 License. Surya is a powerful OCR engine that supports multiple languages and provides excellent results for complex layouts.

⚠️ Important License Note: As Surya is licensed under GPL-3.0, any distribution of this software must comply with the GPL-3.0 license terms. Please ensure you understand these terms if you plan to distribute or modify this software.

Other Dependencies

• FastMCP: For MCP server implementation
• Pydantic: For data validation
• Pillow: For image processing
• ZhipuAI: For LLM-based content generation

License 📄

This project is licensed under the MIT License - see the LICENSE file for details. (Note: Components like Surya OCR have their own licenses as mentioned above)