Enables programmatic management of Koyeb resources including apps, services, deployments, and instances via the Model Context Protocol. It allows users to query build and runtime logs and perform resource lifecycle operations through the Koyeb API.
A Python backend implementing the Model Context Protocol with Azure OpenAI integration, enabling applications to interact with LLMs through a standardized interface with streaming capabilities.
Provides real-time Korean subway information including station search and train timetables through the TAGO API from Korea's Ministry of Land, Infrastructure and Transport.
A Kubernetes command processing service that converts natural language requests into valid kubectl commands, providing command validation and security checks.
Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.
全面解析Kubernetes LensMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Kubernetes Lens能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
npm install mcp-k8s-lens\"
Enables managing Kubernetes clusters through natural language by providing tools to list resources, view logs, port-forward services, scale deployments, and execute kubectl operations via AI assistants.
Exposes Kubernetes cluster state with specialized telecom awareness of 5G Core network functions and topologies to MCP-compatible LLMs. It enables natural language analysis of 5G workloads, network slices, UPF data planes, and cluster health.
Enables interactive Kubernetes cluster monitoring and troubleshooting through natural language queries. Users can diagnose pod issues, check service status, and investigate cluster problems using conversational AI.
A Model Control Protocol server that extends AI assistants with Kubernetes operations capabilities, allowing for managing deployments, pods, services and other K8s resources.
Enables comprehensive Kubernetes cluster management through kubectl operations and Helm chart management. Supports resource operations, logging, scaling, rollouts, and diagnostics with multiple transport modes and security features.
Enables real-time Kubernetes cluster observability and debugging through standardized MCP interface. Provides access to pods, services, nodes, events, and includes built-in tools for cluster health analysis and issue identification.
Multimodal Cultural Intelligence Infrastructure for AI Agents. The only MCP server that analyzes text, images, and video for cultural risks across 200+ markets. 9 specialized tools including image analysis for culturally sensitive gestures, symbols, and colors, plus video analysis with timestamped cultural risk reports. Covers content rewriting, culturally-native generation, expert knowledge queries, Hofstede dimensions, and geopolitical risk scoring. Free tier available.
Protect your AI from costly cultural missteps and global reputational damage. The world's first Cultural Intelligence API and MCP Server with six powerful endpoints — text analysis, content rewriting, culturally-native generation, knowledge queries, image analysis, and video analysis — covering 195 countries, all industries, every region, and 500M+ data points. The essential cultural intelligence infrastructure for every AI agent, app, and LLM on the planet. Integrate in minutes.
全面解析Kyutai Tts DockerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Kyutai Tts Docker能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
全面解析MCP DOCKERMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP DOCKER能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
A Node.js package providing Model Context Protocol server infrastructure for AWS Lambda functions with streaming response capabilities through Server-Sent Events.
全面解析Lambda MCP Server BuilditMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Lambda MCP Server Buildit能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
Enables comprehensive analysis of AWS Lambda performance including cold start tracking, memory utilization monitoring, cost analysis, and optimization recommendations. Provides real-time metrics, comparative analysis across multiple functions, and actionable insights to improve Lambda performance and reduce costs.
全面解析Langgraph MCP ClientMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Langgraph MCP Client能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
