Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.

Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.

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.

Cycode CLI is a locally installed application used to scan code repositories for security vulnerabilities, including sensitive information leakage, Infrastructure as Code misconfigurations, Software Composition Analysis vulnerabilities, and Static Application Security Testing issues. This tool supports multiple scan types, such as repository scanning, path scanning, and commit history scanning, and provides an ignore rule function to exclude specific results.

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.

The Railway MCP Server is a service based on the Model Context Protocol (MCP) for managing the infrastructure of Railway.app through natural language, including deploying services, managing variables, and monitoring deployments.

This project implements a server based on the Model Context Protocol (MCP) for deploying web applications to AWS serverless infrastructure, supporting automatic deployment of front - end, back - end, and full - stack applications.

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.

A high-performance Python implementation of the MCP server, focusing on memory optimization and infrastructure component tracking, supporting Claude Desktop integration but archived due to specification issues.

KOI-MCP is a bridge framework that integrates the Knowledge Organization Infrastructure (KOI) with the Model Context Protocol (MCP), enabling autonomous agents to exchange rich personality traits and expose capabilities as standardized tools.

Lyra Intel is a complete intelligent infrastructure engine for large-scale codebase analysis. It combines in-depth code analysis, AI-driven insights, semantic search, and security scanning, supports deployment from local to enterprise level, and provides comprehensive code understanding, security auditing, and intelligent insight functions.

MRC Data is a platform that provides independently verified Chinese garment supply chain data infrastructure for AI agents. It covers over 3,000 manufacturers, 350+ laboratory - tested fabrics, and 170+ industrial clusters, distinguishing between claimed values and verified values to solve the problem of unreliable data on B2B platforms.

This project provides a deployable AWS general MCP server and CDK infrastructure code, supporting interaction with AWS services through a standardized MCP interface, including implementations of location services, S3, and Aurora PostgreSQL.

The Netskope NPA MCP Server is a protocol server that manages the Netskope Network Private Access infrastructure through large language models, providing more than 50 tools for configuration management.

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.

PumpClaw is a project that provides revenue infrastructure for autonomous AI agents, allowing users to deploy ERC - 20 tokens on the Base chain at zero cost and create Uniswap V4 liquidity pools. Creators can get an 80% share of transaction fees.

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.

This project is a collection of Model Context Protocol (MCP) servers specifically designed for DevOps tools and platforms. It enables large language models (LLMs) to directly interact with mainstream DevOps systems in a standardized way, achieving automated control of operations such as infrastructure, deployment pipelines, and monitoring.

Homelab MCP is a collection of Model Context Protocol servers used to manage and monitor home lab infrastructure through Claude Desktop. It supports multiple services such as Docker, Ollama, Pi-hole, Unifi, and UPS, and offers both unified and independent deployment modes.

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.

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.

mcp-recon is a conversational network reconnaissance tool based on the MCP protocol. It integrates httpx and asnmap to perform HTTP infrastructure analysis and supports fast/complete reconnaissance and ASN queries through natural language instructions.

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.

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.

An MCP server for configuring and managing the Cisco ACI (Application Centric Infrastructure) fabric through the APIC REST API, providing more than 35 tools covering complete fabric management functions such as tenants, application profiles, endpoint groups, bridge domains, VRFs, contracts, and health monitoring.

Agents Council is an AI agent collaboration tool based on the MCP protocol, which allows different AI agent sessions (such as Claude Code, Codex, Gemini, etc.) to communicate and collaborate across sessions without additional infrastructure. It realizes communication between agents through a central MCP server, supports session retention, human - participation monitoring, summoning of Claude agents, etc., to help developers solve complex tasks.

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.

Nautobot MCP is a Nautobot plugin that integrates the MCP protocol server, providing an AI tool interface for network automation and management.

A serverless MCP protocol implementation project based on AWS Lambda, CloudFront, and Cognito authentication, providing a complete cloud MCP server infrastructure, supporting OAuth 2.0 authentication, real-time stream transmission, and a scalable architecture.

The OCI Pricing MCP Server provides pricing data for Oracle cloud infrastructure to AI assistants, supporting real - time queries and offline data. It includes cost estimation tools for services such as computing, storage, and databases.

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

Vultr MCP is a comprehensive model context protocol server that provides 335+tools for managing Vultr cloud infrastructure through natural language, supporting intelligent identifier parsing and a rich CLI interface.

MCP Server Meraki is a standardized interface project for interacting with Meraki infrastructure through the MCP protocol, providing data validation, error handling, and a modular architecture.

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.

A Python-based tool for obtaining infrastructure monitoring data through the Datadog API, providing monitoring status tracking and Kubernetes log analysis functions.

The LocalStack MCP server is a model context protocol service that provides tools to manage LocalStack containers and related tasks, simplifying local cloud development and testing. It supports container operations, infrastructure deployment, log analysis, IAM policy management, chaos testing, and state snapshots, etc.

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.