ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

The AI Infrastructure Agent is an intelligent system that allows users to manage AWS cloud resources through natural language commands. It uses AI models to convert user requirements into executable AWS operations and provides web dashboards, state management, and security protection functions.

Awesome MCP Servers is a comprehensive collection of Model Context Protocol (MCP) servers, covering 7,158 MCP servers divided into 33 categories, including AI integration, art and media, browser automation, cloud services, databases, developer tools, file systems, finance, gaming, hardware, healthcare, infrastructure, knowledge management, location maps, marketing, monitoring, multimedia processing, operating systems, project management, scientific research, security, social media, travel and transportation, utilities, and version control, etc.

The MCP Gateway is an advanced AI infrastructure middleware solution that acts as a proxy gateway for model context protocol (MCP) servers, providing unified interfaces, sensitive information filtering, and lifecycle management functions.

Open Data MCP is an open - source project aiming to quickly connect public data sets to LLM applications through the MCP protocol. The project provides a CLI tool to achieve a 2 - minute connection (currently supporting Claude) and establishes a community collaboration framework that allows developers to easily contribute and publish public data sets. The core goal is to build an infrastructure that connects all LLM applications with millions of public data sets.

A high-performance MCP server implemented in Go language, providing AI agents and applications with the ability to query and access the Redfish API through natural language, enabling intelligent management and monitoring of data center infrastructure.

ZenMemory MCP Server is a decentralized AI memory infrastructure project built on the MCP protocol and Solana Agent Kit, providing memory storage, retrieval, and on - chain memory context functions.

Alibaba Cloud Wuying AgentBay is a cloud infrastructure designed for AI Agents, providing one - click configuration tools and an execution environment, supporting rapid integration and server - based operation.

A basic project for developing custom MCP servers, providing a complete architectural pattern, example tools, and development infrastructure to support AI assistants in connecting to external data sources or APIs.

The Sauce Labs MCP Server is a model context protocol server fully integrated with the Sauce Labs testing platform, supporting AI assistants to manage the device cloud, test tasks, build analysis, and monitor the test infrastructure through natural language interaction.

AWS Security MCP is a service based on the model context protocol that allows AI assistants to independently check and analyze security issues in AWS infrastructure through natural language queries. It supports multiple AWS security services, including IAM, EC2, S3, etc., and provides security recommendations and threat modeling reports.

AWS Security MCP is a server based on the MCP protocol that allows AI assistants to independently check and analyze security issues in your AWS infrastructure through natural language queries, supporting interaction and query of multiple AWS security services.

Claude - Slack provides a Slack - like channel messaging infrastructure for AI agents, supporting multi - agent collaboration, project isolation, and knowledge persistence.

The ElfProxy MCP server is a privacy-first infrastructure solution that combines dynamic IP rotation with AI-optimized network interaction, providing a global proxy IP pool and intelligent web content processing capabilities.

Wuying AgentBay is a cloud infrastructure designed by Alibaba Cloud for AI Agents, providing a one-click configuration tool and an execution environment, supporting fast integration and serverless cloud operation.

The Linode MCP Server is a protocol server that connects an AI assistant to the Linode cloud infrastructure, supporting the management of cloud resources, including multiple services such as instances, databases, and networks, through natural language conversations.

The Unified MCP Tool Graph is a research - driven project that provides an intelligent infrastructure layer for large language models (LLMs) and agent AI systems to dynamically retrieve the most relevant tools by aggregating and structuring tool APIs from different MCP servers into a centralized Neo4j graph database.

The Terraform Cloud MCP Server is an AI assistant integrated service for managing infrastructure through natural language conversations, supporting multiple MCP-compatible platforms.

Magnet is a programmable action agent platform built on the Base chain, aiming to enable AI agents to autonomously execute tasks and handle on - chain transactions, providing infrastructure support for Claude AI and others.

Terry-Form MCP is a bridge connecting AI assistants and Terraform infrastructure management. It executes Terraform commands in a secure container environment and integrates the Language Server Protocol (LSP) to provide intelligent development capabilities.

A multi - agent AI infrastructure based on the Model Context Protocol (MCP), providing a standardized communication layer, supporting vector databases, tool integration, and multi - agent collaboration, including core components such as an inspector dashboard, Qdrant vector database, and Docker network.

An MCP server that provides persistent storage for infrastructure-as-code (IaC) for Claude AI, focusing on version tracking and relationship mapping of Terraform and Ansible resources.

Docker Manager MCP is a zero - configuration Docker infrastructure management tool that centrally controls multiple Docker hosts via an AI assistant. It supports container management, stack deployment, and service monitoring, automatically discovers hosts in SSH configurations, and provides secure connections.

A template project for building tools compliant with the Model Context Protocol (MCP), providing a standardized infrastructure for AI tool interaction.

A collection of 46 professional AI sub - agents to expand the functionality of Claude Code, covering multiple fields such as development, architecture, language, infrastructure, quality and safety, data AI, etc., and achieving task optimization through specific model allocation.

EVDI is an end - to - end verifiable data infrastructure that provides digital identity and credential management for the AI agent ecosystem. It enables the authentication and trust establishment of AI agents through the Self - Sovereign Identity (SSI) model. The MCP Server, as an adapter for the SSI issuance service, exposes SSI operations as tools that can be called by AI models, supporting credential management and verification functions.

An AI infrastructure-as-code platform based on Model Context Protocol (MCP), integrating Ollama for intelligent agent programming and server management.

Superjolt CLI is an AI-driven JavaScript application deployment platform that provides command-line tools and MCP protocol support, enabling one-click deployment, AI-assisted infrastructure management, service lifecycle management, and other functions.

A high - performance CloudStack MCP Server that provides complete virtual machine lifecycle management, infrastructure discovery, and security authentication functions, and supports integration with AI assistants and automation tools through the MCP protocol.

Openfort's MCP Server is an open - source wallet infrastructure solution that enhances the capabilities of AI assistants through a plug - in approach, enabling them to automatically create projects, manage configurations, and query data.

The official TestingBot MCP server enables AI assistants to manage the TestingBot testing infrastructure through a conversational interface, including functions such as real-time testing, browser and device management, test management, storage management, screenshot testing, build management, user team management, CDP sessions, and tunnel management.