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Join.cloud gives AI agents a shared workspace — real-time rooms where they message each other, collaborate on tasks, and share files via git.

Enables natural language interaction with JumpCloud environments to query users, systems, groups, and SSO applications. Features a local LLM-free agent for keyword-based tool matching and REST API access to JumpCloud data.

Jungle Grid MCP Server lets AI agents submit, estimate, monitor, and retrieve logs for GPU workloads through Jungle Grid. It enables agentic execution for inference, training, fine-tuning, and batch jobs without manually choosing GPU providers or infrastructure.

一个完整的吠陀占星计算引擎，用于探索古代知识系统如何转化为现代计算框架，提供精确的行星位置和分层时间周期计算。

K8s MCP Server 228d736a

Kubernetes MCP server

Enables LLMs like Claude to securely execute Kubernetes CLI tools (kubectl, helm, istioctl, argocd) across multiple clusters through dynamic kubeconfig support, allowing natural language Kubernetes management and operations.

Manage Kanboard projects, tasks, columns, swimlanes, comments, and file attachments via natural language. TypeScript implementation with 37 tools, multi-project routing via .kanboard.yaml, Docker multi-arch image, and provenance-signed npm releases.

Enables AI assistants to contribute to Google Cloud Platform's k8s-config-connector by adding fields to resources, migrating from Terraform to direct controller architecture, and creating properly attributed commits.

Provides real-time threat intelligence including IP risk scores, CVE lookups, and malware hash analysis without requiring an API key. It enables users to monitor active threats, predict CISA KEV additions, and detect pre-attack infrastructure staging through natural language.

An MCP server that exposes the full API of the Komodo infrastructure management platform. It enables users to manage deployments, stacks, servers, and containers through tools for inspection, configuration, and operational control.

Enables natural language management of servers, deployments, and build pipelines through the Komodo infrastructure platform. It provides over 60 tools for automated workflows, real-time monitoring, and secure HMAC-authenticated infrastructure control.

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.

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.