A high - performance MCP server that provides an efficient knowledge interface between LLMs and MongoDB, supporting small context window optimization and multiple domain data models.

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.

The Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

The OpenRouter MCP Server provides seamless integration with the OpenRouter.ai model ecosystem, supporting access to multiple AI models and performance optimization.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis functions for AI models, including core performance indicators, SEO evaluation, accessibility audits, and resource optimization suggestions.

LLM Gateway is a server based on the MCP protocol that supports advanced AI agents (such as Claude 3.7) to intelligently delegate tasks to lower - cost LLM models (such as Gemini Flash), achieving cost optimization and performance balance.

The CCXT MCP Server is a high - performance cryptocurrency exchange integration service based on the Model Context Protocol (MCP) and the CCXT library. It supports connecting to more than 20 exchanges, provides unified API access to various market types such as spot and futures, and has features such as proxy configuration, cache optimization, and rate limiting.

Ollama-MCP-server is a middleware server that connects the local Ollama large language model. It provides task decomposition, result evaluation, and model management functions through the Model Context Protocol, supporting standardized communication and performance optimization.

A high - performance image processing server based on the Model Context Protocol, providing rich image processing functions such as format conversion, size adjustment, and compression optimization.

vLLM is an efficient and easy - to - use LLM inference and service library that supports multiple model architectures and optimization techniques, providing high - performance LLM services.

MCPVerified is the authoritative guide to the Model Control Protocol ecosystem, providing carefully selected recommendations based on practical experience, focusing on TypeScript development, security, performance optimization, and developer experience.