Which integrations are available for this server?

Uses Pydantic for data validation in the MCP server implementation Implemented in Python 3.12 for processing screenshots and generating social media content Generates trending social media posts in Xiaohongshu style, including appropriate hashtags and formatting for the platform

How do I use Trendy Post MCP?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Trendy Post MCP create a trendy post from this screenshot" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Trendy Post MCP 🚀✨

A Model Context Protocol (MCP) service that:

Takes a screenshot from the user 📸
Uses OCR to extract text and analyze the image 🔍
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

Related MCP server: RedNote MCP

Setup 🛠️

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

# Activate the conda environment
conda activate trendy_post_mcp

# Run the MCP server
python server.py

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)