A minimalist WeChat article reader MCP service that enables large models to obtain and analyze the content of WeChat official account articles through browser simulation and content extraction technology.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

The ChuckNorris MCP Server is an enhanced prompt tool designed for large language models. It uses dynamic mode adaptation technology to bypass security restrictions and is mainly used for security research and evaluation purposes.

This is a list of multiple open - source AI projects, covering multiple fields such as automated agents, large - language models, image generation, and AI development frameworks. These projects aim to help developers make money using AI technology, including building intelligent assistants, automating workflows, and content generation applications.

This project implements a CRM - AI service middle layer based on the MCP protocol, providing data security processing, intelligent conversation management, and lead analysis functions. It protects sensitive data through anonymization technology and a token system, and supports integration with large - language models.