The AWS MCP Servers are a set of dedicated servers based on the Model Context Protocol, offering various AWS-related functions, including document retrieval, knowledge base query, CDK best practices, cost analysis, image generation, etc., aiming to enhance the integration of AI applications with AWS services through a standardized protocol.

Cognee is an open - source project that provides memory functions for AI agents. It builds a dynamic knowledge graph through a modular ECL pipeline, supports multiple data sources and formats, reduces hallucinations, and lowers costs.

Opik is an open-source LLM evaluation framework that supports tracking, evaluating, and monitoring LLM applications, helping developers build more efficient and cost-effective LLM systems.

A tool for querying AWS cost data and Bedrock usage logs via the MCP protocol

Perplexity Advanced MCP is an advanced integration package that provides enhanced query processing capabilities through OpenRouter and Perplexity API, supporting simple and complex queries, and optimizing cost and performance.

The Vantage MCP Server is an open-source tool that helps users query and analyze cloud cost data through natural language interaction. It serves as a bridge between the Vantage API and AI assistants, providing intuitive cost analysis capabilities and supporting integration with multiple MCP clients.

An MCP server for batch - reading memory bank files, which reduces the frequency of AI tool calls and saves time and costs by loading all files in the directory at once.

The MCP Context Template is a repository for centrally managing AI tool contexts, aiming to reduce the cost of context sharing and improve development efficiency, providing a unified AI collaboration standard and document structure for teams.

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.

Houtini LM is an MCP server that connects Claude to LM Studio, providing expert - level code analysis, document generation, and creative project scaffolding functions. It supports local operation without API costs and is suitable for developers and creators.

The Cloudzero MCP Server project connects Claude Desktop with the CloudZero API through the MCP protocol to achieve intelligent query and analysis of cloud cost data.

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.

GemSuite MCP is the most comprehensive Gemini API integration server. It provides optimal performance, lowest token cost, and seamless integration through intelligent model selection, and supports various file processing and complex tasks.

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.

This project is a Python-based MCP server that provides the function of programmatically querying Azure resource pricing. It obtains real-time pricing information from the Azure retail price API through a structured workflow and supports calculating monthly costs.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

A VSCode extension that turns the editor into an MCP server, supporting functions such as code editing, terminal operations, and preview tools, and providing a cost - effective AI programming assistance solution.

The Tailpipe MCP server is an AI - driven log analysis tool that connects AI assistants with cloud/SaaS log data through the model context protocol. It supports natural language queries and analysis of various cloud service logs, and provides functions such as security incident investigation and cost - performance insights.

GemSuite MCP is the most comprehensive Gemini API integration server, achieving optimal performance and lowest cost through intelligent model selection, supporting multi-file processing and complex task analysis.

Gemini Bridge is a lightweight MCP server that connects AI programming assistants to Google Gemini AI through the official CLI, supporting multi - client interaction without API costs.

Codex Bridge is a lightweight MCP server that connects AI programming assistants with OpenAI Codex through the official CLI, supporting multi - client interaction without API costs.

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.

Claude Crew is a tool for creating autonomous coding agents, focusing on maximizing cost - effectiveness through efficient use of the context window, prioritizing operation verification through unit tests, and providing project - optimized MCP and context information.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

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%.

OpsNow MCP Cost Server is an MCP protocol server that provides OpsNow cost data for desktop applications such as Claude

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.

NetMind ParsePro is a high - quality, robust, and cost - effective PDF parsing AI service that can convert PDF files to JSON or Markdown format and supports seamless integration with AI agents.

An MCP server based on the cursor-agent CLI, providing tools for code analysis, search, planning, and editing to help Claude Code reduce token usage and costs

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing a rich toolset and intelligent task delegation function, supporting multi-LLM provider integration, optimizing cost and performance, and automating complex workflows.

This is a project for developing an MCP server using Node.js to obtain AWS monthly cost reports, which requires configuring the AWS environment and integrating with Claude Desktop.

MCP BigQuery Server is a lightweight server based on the Go language, supporting querying BigQuery data tables through MCP, and providing functions such as dataset listing, table structure query, and query cost estimation.

An MCP service based on the e-Daijia Open API, providing functions for chauffeur cost estimation, order placement, and Token management.

The UniAuto MCP Server is a general test automation server integrated with AI capabilities, featuring a multi-layer self-healing mechanism, visual intelligence, and cross-platform support. It can significantly reduce test maintenance costs and improve test resilience.

The AWS MCP server is a platform that provides tools for interacting with AWS services, supporting operations on core services such as S3, EC2, and RDS, as well as cost analysis and monitoring functions.

Download and analysis tool for non-Costco official MCP servers

Projects related to AWS Cost and Usage Report (CUR) and MCP service

This project is an AWS cost analysis tool based on the Anthropic MCP protocol, providing a natural language interaction interface through the Claude model. It can query AWS Cost Explorer and Bedrock model call log data, and supports local and remote deployment.

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