MCP Servers

An MCP server that enables AI models to search, retrieve, and solve LeetCode problems. Supports metadata filtering, user profiles, submissions, and contest data access.

Execute any LLM-generated code in a secure and scalable sandbox environment and create your own MCP tools using JavaScript or Python, with full support for NPM and PyPI packages

Lightweight MCP server to access any API using their OpenAPI specification. Supports OAuth2 and full JSON schema parameters and request body.

Give your AI assistant its own AI assistants. For example: "Could you ask openai to generate an image of a dog?"

OpenAPI-MCP: Dockerized MCP Server to allow your AI agent to access any API with existing api docs.

MCP Server for Kubernetes integrated with Open-WebUI, bridging the gap between DevOps and non-technical teams. Supports `kubectl` and `helm` operations through natural-language commands.

MCP Server for kubernetes management, and analyze your cluster, application health

Provides MCP multi-cluster Kubernetes management and operations. It can be integrated as an SDK into your own project and includes nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

This is an MCP server used for querying books, and it can be applied in common MCP clients, such as Cherry Studio.

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Go-based MCP Server for interfacing with Nutanix Prism Central resources.

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.

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 (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.