Persistent memory API for AI agents — store, recall, and inject semantically-searchable context across sessions. EU-hosted, GDPR-compliant. Supports Claude, Cursor, Cline, and any MCP-compatible client.
An advanced MCP server for reflective chain-of-thought with Semantic Plausibility Gating and DBOS PostgreSQL persistence.
公开目录未提供摘要。
公开目录未提供摘要。
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.
Tracks and manages code changes from Git repositories, generates documentation automatically, and provides AI agents with intelligent access to service documentation through MCP server integration with feature mapping and search capabilities.
A Kubernetes command processing service that converts natural language requests into valid kubectl commands, providing command validation and security checks.
An implementation that enables AI assistants to interact with Kubecost cost management platform through natural language, providing access to budget management and cost analysis features.
Enables security analysis of Kubernetes Role configurations using LLM-assisted prompt chaining and rule-based assessment. Provides comprehensive security scoring, hardened role generation, and runtime permission usage correlation to identify privilege escalation risks and over-permissive configurations.
A Model Context Protocol server for Kubernetes that provides full resource coverage and advanced troubleshooting tools via HTTP chunked streaming. It enables users to manage clusters and diagnose complex issues like pod crashloops through specialized prompts and standard kubectl-like operations.
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.
MCP server for Kubera that lets LLMs read and update your portfolio data.
AI-powered assistant that enables natural language interactions with Kubernetes clusters. Simplifies DevOps workflows using Model Context Protocol (MCP) servers for executing K8s operations through conversational interfaces.
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.
Model Context Protocol (MCP) server for Kubernetes and OpenShift containers, context, kubernetes, mcp, model, model-context-pr, openshift, protocol
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.


