Cloud platforms, deployment, monitoring and operational control.
Autonomous data infrastructure that turns strategic objectives into verified datasets and live intelligence streams.
A universal RPC layer for AI agents. Connect to any function, any language, any framework, in minutes.
Full-stack platform to build, deploy and monitor agents with built-in APIs, databases, vector storage, code sandboxes, observability and messaging integrations.
Alibaba Cloud MCP server for ECS, monitoring, OSS and other cloud operations.
Managed platform to deploy and scale agents built with any framework, with runtime, identity, observability, evaluation and secure calls to MCP servers and APIs.
AWS MCP server for deploying and troubleshooting containerised workloads on Amazon ECS.
AWS MCP server for managing and troubleshooting Kubernetes clusters on Amazon EKS.
Cloud-hosted browsers for agents with authenticated sessions, CAPTCHA handling and deterministic task planning, accessible via SDK, MCP or automation platforms.
AWS Labs collection of MCP servers for AWS documentation, infrastructure, cost analysis and service-specific workflows.
Agent infrastructure with fast-booting microVM sandboxes, persistent state, batch job spawning and MCP servers run as first-class workloads on a private network.
The open-source MCP server behind ByteAsk Embedded Docs: a source-grounded, page-cited evidence-retrieval server for coding agents (Claude Code, Codex, Cursor) that write firmware / driver / protocol.
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
Cloudflare SDK and platform for building stateful agents and remote MCP servers on Workers.
Access Cloudflare documentation and services through a collection of remote MCP endpoints.
Cotal.ai actions: product overview, site search, build log, feedback, Cloud waitlist, updates, calls.
A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface.
Secure sandbox infrastructure for agents to execute code with sub-90ms environment creation, file and Git operations, state persistence, volumes and virtual desktops.
DigitalOcean MCP server for App Platform, Droplets, databases and other cloud resources.
Sandboxed cloud environments for running code generated by AI agents.
MCP server + CLI + Codex/Claude skill for embedded debugging via probe-rs or OpenOCD — ARM Cortex-M, RISC-V, and Xtensa (ESP32), with AI crash diagnosis.
Centralize ESP32 related commands and simplify getting started with seamless, LLM-driven interaction and help.
MCP server in the Firebase CLI for Firestore, Authentication, Hosting and other Firebase services.
MCP server built into flyctl for managing Fly.io apps, machines and volumes from agents.
Azure managed runtime for hosted agents with identity, memory, observability, multi-agent workflow orchestration and connections to MCP, A2A and OpenAPI tools.
An MCP server for GNU Radio that enables LLMs to autonomously create and modify RF .grc flowcharts.
Official MCP Server to deploy to Google Cloud Run.
Access and interact with Harness platform data, including pipelines, repositories, logs, and artifact registries.
Heroku MCP server for managing apps, add-ons, dynos, logs and deployments through the Heroku platform.
Debug your Container and Kubernetes workloads with an AI interface.
Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.
一款轻量级、跨平台的 Mini Kubernetes AI Dashboard，支持大模型+智能体+MCP(支持设置操作权限)，集成多集群管理、智能分析、实时异常检测等功能，支持多架构并可单文件部署，助力高效集群管理与运维优化。.
Kubernetes-native framework for building AI agents; agents can connect to any MCP server that provides tools.
Cloud browser infrastructure for web agents with isolated Chromium sessions, managed auth, proxies, live views and replays, plus a hosted MCP server.
Published in CNCF Landscape: A MCP server for Kubernetes.
Red Hat maintained MCP server for Kubernetes and OpenShift clusters: pods, resources, logs and Helm.
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster.
Provides access to OpenTelemetry traces and metrics through Logfire.
Kubernetes cluster operations through MCP.
Agentic infrastructure that gives employees, agents and AI clients one governed place to connect tools and skills, exposing integrations to MCP-compatible clients.
Query and interact with kubernetes environments monitored by Metoro.
Self-hostable microVM sandboxes with their own kernel for running untrusted agent-generated code locally or in the cloud, with an MCP server for agent clients.
Isolated, ephemeral execution environments on Modal's serverless platform for coding agents, background agents and RL rollouts, scaling to many concurrent sandboxes.
Netlify MCP server for creating, deploying and managing sites and functions from agents.
An MCP (Model Context Protocol) server that provides tools for querying OCI registries and image references.
An MCP server that connects to OPC UA-enabled industrial systems.
Give your AI coding assistants access to Raygun so they can investigate, explain, and help resolve errors for you.
Render MCP server for services, deployments, logs and Postgres databases on the Render platform.
Isolated Devbox sandboxes where agents build, test and deploy code, supporting long-running stateful workflows, browser use, benchmarking and MCP servers.
A CLI version of an MCP server for the ScreenshotOne API.
Rust MCP server and CLI for serial/UART devices, with JSON macro automation and agent skills for repeatable timed workflows.
A JavaScript-driven M5Stack-embedded super-kawaii robot.
Durable execution platform that persists workflow state and recovers from failures, used to build agents, MCP implementations and AI pipelines that survive crashes.
HashiCorp MCP server that connects agents to Terraform Registry providers, modules and HCP Terraform workflows.
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments.
Stacklok platform that runs MCP servers in containers with secrets and access control.
Open-source platform for durable AI agents and background tasks in TypeScript with retries, queues, human-in-the-loop approvals, streaming and an official MCP server.
Connect assistants to Vercel project, deployment and documentation workflows.