Browse MCP Services

🏎️ 🏠 - Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring, and pod log streaming

🏎️ ☁️/🏠 - Get up-to-date EC2 pricing information with one call. Fast. Powered by a pre-parsed AWS pricing catalogue.

🏎️ 🏠/☁️ - Go-based MCP Server for interfacing with Nutanix Prism Central resources.

📇 ☁️ 🏠 🍎 🪟 🐧 - One-stop backend services for WeChat Mini-Programs and full-stack apps. Provides specialized MCP tools for serverless cloud functions, databases, and one-click deployment to production with China market access through WeChat ecosystem.

🏎️ ☁️/🏠 - Kubernetes cluster operations through MCP

🏎️ ☁️ - An SSE-based MCP server that allows LLM-powered applications to interact with OCI registries. It provides tools for retrieving information about container images, listing tags, and more.

🏎️ ☁️ - MKP is a Model Context Protocol (MCP) server for Kubernetes that allows LLM-powered applications to interact with Kubernetes clusters. It provides tools for listing and applying Kubernetes resources through the MCP protocol.

🐍 ☁️ - AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.

📇 ☁️ - Manage domains, DNS records, contacts, marketplace listings, and more via the Spaceship API

🏎️ ☁️/🏠 - MCP-K8S is an AI-driven Kubernetes resource management tool that allows users to operate any resources in Kubernetes clusters through natural language interaction, including native resources (like Deployment, Service) and custom resources (CRD). No need to memorize complex commands - just describe your needs, and AI will accurately execute the corresponding cluster operations, greatly enhancing the usability of Kubernetes.

🐍 🏠 🍎 🪟 🐧 - A Model Context Protocol server that integrates with Tilt to provide programmatic access to Tilt resources, logs, and management operations for Kubernetes development environments.

🐍 ☁️/🏠 - A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.

🏎️ ☁️/🏠 - A Kubernetes Model Context Protocol (MCP) server that provides tools for interacting with Kubernetes clusters through a standardized interface, including API resource discovery, resource management, pod logs, metrics, and events.

📇 ☁️ - Manage your Redis Cloud resources effortlessly using natural language. Create databases, monitor subscriptions, and configure cloud deployments with simple commands.

🐍 ☁️ - A MCP built on Qiniu Cloud products, supporting access to Qiniu Cloud Storage, media processing services, etc.

🐍 🏠 - MCP server implementation for PythonAnywhere cloud platform.

🎖️ 📇 🏠 - MCP server for interacting with Pulumi using the Pulumi Automation API and Pulumi Cloud API. Enables MCP clients to perform Pulumi operations like retrieving package information, previewing changes, deploying updates, and retrieving stack outputs programmatically.

🏎️ ☁️/🏠 - A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.

🐍 🍎/🐧 ☁️ - mcp server for [cert-manager](https://github.com/cert-manager/cert-manager) management and troubleshooting

🐍 ☁️ - OpenStack MCP server for cloud infrastructure management based on openstacksdk.

🦀 🏠 - A Terraform MCP server allowing AI assistants to manage and operate Terraform environments, enabling reading configurations, analyzing plans, applying configurations, and managing Terraform state.

📇 🏠 - integrates with the fastmcp library to expose the full range of NebulaBlock API functionalities as accessible tools

🏎️ 🏠 A - powerful Kubernetes MCP server with additional support for OpenShift. Besides providing CRUD operations for **any** Kubernetes resource, this server provides specialized tools to interact with your cluster.

🎖️ 📇 🏠 - A MCP server for LocalStack to manage local AWS environments, including lifecycle operations, infra deployments, log analysis, fault injection, and state management.