Manage Your Kubernetes Cluster with k8s mcp-server
An ultra-lightweight, sovereign logic execution engine powered by Go. Run APIs, cron schedules, templates, and background tasks on a custom stack-based bytecode virtual machine with nanosecond precision.
The Runtime Where AI Agents Build, Ship, and Evolve. Pulse Editor is a modular, cross-platform, AI-powered productivity platform with federated app collaboration and extensible workflows.
A Kubernetes MCP (Model Control Protocol) server that enables interaction with Kubernetes clusters through MCP tools.
Provide different cloud products MCP Server tools to help developers manage cloud resources with AI-agent
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Stop configuring your AI stack. Start using it. One command brings a complete pre-wired LLM stack with hundreds of services to explore.
A Go framework for building production agent systems with graph workflows, tools, memory, A2A, AG-UI, MCP, evaluation, and observability.
Let AI agents investigate and operate infrastructure through declared actions, bounded by policy and host-side checks. Approvals when required, with an audit trail. By Protectorate.
Centralize ESP32 related commands and simplify getting started with seamless, LLM-driven interaction and help.
Getting Started with Remote MCP Servers using Azure Functions (Python)
Enterprise AI bastion host for secure AI API and MCP access, with unified proxying, RBAC, audit logs, rate limiting, and cost tracking across OpenAI, Anthropic, Gemini, and self-hosted LLMs.
Agent skill for production-grade ROS 2 development. Progressive-disclosure SKILL.md covering workspace, nodes, executors, QoS, ros2_control, Nav2, MoveIt 2, real-time, and deployment. Works with Claude Code, Codex, Cursor, Gemini CLI.
APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.
Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.
Keeping your agents out of trouble with sandboxed coding agent automation
Fastest enterprise AI gateway (50x faster than LiteLLM) with adaptive load balancer, cluster mode, guardrails, 1000+ models support & <100 µs overhead at 5k RPS.
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
Lightweight Agent Workstation for Codex CLI + Claude Code — with task scheduler, git worktree & remote control
MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines
Share the same project justfile tasks with your AI Coding Agent.
Apache Camel is an open source integration framework with 350+ connectors. Write routes in Java, YAML, or XML. Run on Spring Boot, Quarkus, or standalone. Apache License 2.0.
Production-ready PySpark ETL template for Databricks — medallion architecture, DABs, tests, DQX, CI/CD, and agentic development with Claude Code.
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents