# Multimodal

GeminiMcpServer is an MCP server that connects LM Studio with the Google Gemini API, supporting image generation and multimodal task processing.

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.

A high-performance MCP server that provides persistent multimodal context storage for LLM agents, supports thread isolation, metadata filtering, full-text search, and semantic search, and is compatible with SQLite and PostgreSQL backends.

An MCP server that provides image recognition functions, supporting the visual APIs of Anthropic and OpenAI, with capabilities such as image description, multi - format support, configurable primary - backup service providers, and OCR text extraction.

The AI Studio MCP Server is a model context protocol server integrated with Google AI Studio/Gemini API, providing content generation functions that support files, conversation history, and system prompts.

GLM-4.5V multimodal server, providing image processing, visual query, and file processing capabilities

ToolChat is a tool for interacting with large language models (LLMs) via MCP servers, supporting the configuration of multiple tool servers and the invocation of specific functions, and can also handle multimodal input such as images and documents.

Bocha is a search engine designed specifically for AI, providing high-quality search services for nearly tens of billions of web pages and ecological content across the network, supporting structured data in multiple vertical fields such as weather, news, and encyclopedias, and suitable for various AI applications.

An intelligent search engine that combines LangChain, MCP protocol, RAG technology, and Ollama, supporting web search, information retrieval, and answer generation, with the ability to call local and cloud LLMs.

The MCP service tool collection provides API call functions for AI services on Hugging Face and Dify, supporting various NLP, CV, and speech processing tasks.

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.

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 OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.