40 RESULTS · “cloud”
v1.7.3 · MIT
Backend for AI coding agents on CloudBase — database, auth, functions via Plugin, Skills & MCP.
v0.1.15 · MIT
Give AI agents a real cloud Chrome: open sessions, navigate, read pages, click, type and screenshot.
v0.1.12 · no license
A free local cloud environment for AI agents to build, test, and debug Google Cloud applications.
v0.1.0 · MIT License
Enables agents and terminal users to inspect ClickHouse over HTTP by listing databases and tables and running guarded read-only SELECT queries without modifying data.
v1.0.0 · no license
Manage Aderlo Cloud hosting: files, DNS, MySQL/PostgreSQL databases and WP-CLI over OAuth scopes.
v0.56.1 · AGPL-3.0
Cloud architecture diagrams in both directions: AI prompt or JSON to diagram, diagram to Terraform via MCP server, and Terraform to diagram via CLI or CI/CD. Using Official AWS, Azure and GCP icons.
v0.1.0 · MIT
The open SVG brand library: 7,600+ brand logos and cloud icons (AWS, Azure, GCP) as official SVG. Search, copy, ship via npm, CDN, CLI, React, Vue, Svelte, Figma, VS Code, Raycast and MCP. Free, MIT, no gatekeeping.
v2.5.1 · MIT
AWS MCP server: call any AWS API from AI assistants - SSO device-code re-login, Cloud Control API CRUD, CloudWatch logs and metrics
v0.33.0 · MIT
The official CLI for MCPCloud — manage projects, servers, skills, and API keys from the terminal
v0.26.0 · MIT
L Harness — self-hosted LINE Official Account CRM: step messaging, broadcasts, forms and reservations, with MCP and TypeScript SDK. By Shudesu (野田修一).
— · MIT
Stealth browser automation for AI agents over MCP and the Chrome DevTools Protocol: navigation, network hooks, DOM extraction, and pixel-accurate UI cloning.
— · Apache-2.0
🚀 Apache RocketMQ built in Rust 🦀 — faster, safer, and more memory-efficient. Powering high-performance messaging for the AI era, with AI Agent, MCP, and AI-SRE capabilities.
IAM Policy Autopilot is an open source static code analysis tool that helps you quickly create baseline AWS IAM policies that you can refine as your application evolves. This tool is available as a command-line utility and MCP server for use within AI coding assistants for quickly building IAM policies.
v0.21.36-dev · MIT
Open source device layer for AI coding agents: a CLI, MCP server, and typed Node.js API to control mobile, web, TV, and desktop apps on devices and simulators, locally or in the cloud.
v0.3.5 · MIT
Open-source coding agents memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.
v0.8.2 · Apache-2.0
Local-first memory layer and protocol for AI coding agents. Markdown source of truth, SQLite FTS5 index, zero cloud.
v0.2.37 · MIT
Sick of stitched-together services? Anythink is the all-in-one backend, configured with AI.
v0.70.6 · UNLICENSED
VibeView CLI -- run your app on cloud iOS simulators, Android emulators, Apple TV, Android TV and Roku devices: a React Native dev loop, device control for you or your coding agent (CLI or MCP), and tests from CI
v2.23.1 · MIT
Local video editor for coding agents: 42 FFmpeg tools with a machine-readable contract and an MCP server, for Claude Code, Cursor and Codex. Cut, captions, reframe, loudness, platform exports. No cloud, no API keys.
v2.46.0 · no license
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
v0.8.0-beta.1 · Apache-2.0
The TypeScript framework for MCP servers: typed tools with Zod, dependency injection, auth, testing, agents and jobs, and builds for Node, Vercel, AWS Lambda and Cloudflare Workers.
v0.3.1 · AGPL-3.0-only
The go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
The full-stack TypeScript framework to build, test, and deploy production-ready MCP servers and AI-native apps.
v1.0.2 · MIT License
Equips AI coding agents with searchable production incident scenarios, outside-in diagnostic runbooks, interview elevator pitches, hardened Kubernetes manifest generation, CLI cheat sheets, and cloud architecture blueprints.