MCPollinations is a multimodal AI service based on the Model Context Protocol (MCP) that supports generating images, text, and audio through the Pollinations API. It offers a lightweight service that does not require authentication, is compatible with multiple AI models, and supports image saving and Base64 encoding return.

The MCP portal is the official community platform for the Model Context Protocol, providing resources such as documentation, practical guides, server implementations, and tool integrations. It supports AI models to access external tools through the MCP protocol, covering a wide range of scenarios from database connections to multimodal applications.

The Context Engineering MCP Platform is an AI context management and optimization platform that designs, manages, and optimizes the input information of AI models through a systematic approach, realizing the engineering of prompt engineering. The platform provides functions such as intelligent analysis engines, optimization algorithms, and template management, significantly improving AI response quality, reducing API costs, and supporting multimodal content processing.

NiagaBot is a smart WhatsApp business automation robot based on Qwen3-Omni AI, supporting functions such as multimodal message processing, group management, batch broadcasting, and data analysis

This project provides an adapter for seamlessly integrating the tools of the MCP (Multimodal Conversation Program) server into LangChain and LangGraph applications, supporting the use of MCP tools in AI application pipelines.

MaxKB is an open-source AI assistant designed specifically for enterprises. It supports the RAG process, workflow engine, and multimodal interaction, and is suitable for scenarios such as intelligent customer service and knowledge bases.