LOTUS-MCP is an open-source model coordination protocol that integrates the two major AI models, Mistral and Gemini, providing a unified interface, context sharing, and tool integration to achieve intelligent routing and cost optimization.

A comprehensive AWS cost analysis and optimization recommendation MCP server that integrates AWS core services such as Cost Explorer and Compute Optimizer, providing resource optimization solutions and cost - saving suggestions.

The LocaLLama MCP Server is an intelligent routing service that optimizes costs by dynamically assigning coding tasks to local LLMs or paid APIs. It includes core modules such as cost monitoring, decision engine, API integration, error handling, and performance benchmark testing, and supports integration with multiple tools.

MCP Analyst is an MCP server that enables Claude to analyze local CSV or Parquet files, suitable for scenarios involving large datasets that exceed the context window limit or require cost optimization.

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.

LCBro is a low - cost browser automation MCP server that supports Playwright and Chrome DevTools protocols, provides intelligent data preprocessing and remote browser management functions, and can reduce the cost of calling the LLM API by up to 80%.

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.

kivv is an automatic arXiv research paper discovery and AI intelligent summarization system, integrated with Claude Desktop via the MCP protocol, supporting multi - user, RSS subscription, and cost optimization, and built on Cloudflare Workers.

Creem.io's MCP server project aims to improve merchants' record - keeping services through transparent billing and cost optimization.

This project demonstrates how to transform the official TypeScript MCP server into an implementation that supports the streamable HTTP protocol and is deployed via Amazon Lambda. Core features include support for the streaming protocol, elastic deployment based on Lambda, and cost optimization, suitable for scenarios that require seamless integration with existing HTTP infrastructure.