Ink – Deploy full-stack apps from AI agents via MCP or Skills
Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans. We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly. The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0. What Ink does that I haven't seen elsewhere: - One agent skill for compute + databases + DNS + secrets +…
Ink – Deploy full-stack apps from AI agents via MCP or Skills launched on March 11, 2026 with 32 votes, #770 of 23,380 launches that month and more than 95% of that year's launches.
In plain words
Ink is a full-stack deployment platform designed for AI agents to independently deploy applications without human intervention. When an agent calls the deploy function, Ink automatically detects the framework, builds the code, sets up hosting, databases, DNS, and secrets management, then returns a live URL. The platform consolidates compute, databases, DNS, secrets, domains, and monitoring into a single agent interface, eliminating the need to juggle multiple providers. It includes DNS zone delegation for instant subdomain creation and supports integration via MCP or Skills.
written from the facts on this page · September 2026
From the sources
INK is cloud infrastructure for AI agents and developers. Deploy services, templates, domains, volumes, logs, and metrics through the CLI, Skills, MCP, or the dashboard.
No Dockerfiles. No CI pipelines. No infrastructure config. Just code. Pick the operating model. The deployment surface, workspace boundaries, and agent entry points stay in one place. Push to INK git or GitHub, or let your agent do it through the CLI, Skills, or MCP. INK takes the build from there: stack detected, service deployed, logs and metrics available, billed only while it runs. Create services from GitHub repos or Docker images, then watch them come alive with real-time metrics and logs. Deploy databases and full-stack templates from the canvas, or let your agent do it autonomously through the CLI or MCP. Templates turn common stacks into a deployable starting point. Real-time…from ml.ink
In the maker’s words, at launch
Hi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans. We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly. The agent calls "deploy" and the platform…
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Inkeep (YC W23) – Agent Builder to create agents in code or visually2025 · github.com · ▲79Hi HN! I'm Nick from Inkeep. We built an agent builder with true 2-way sync between code and a drag-and-drop visual editor, so devs and non-devs can collaborate on the same agents. Here’s a demo video: https://go.inkeep.com/video. As a developer, the flow is: 1) Build AI Chat Assistants or AI Workflows with the TypeScript SDK 2) Run `inkeep push` from your CLI to publish 3)Edit agents in the visual builder (or hand off to non-technical teams) 4) Run `inkeep pull to edit in code again. We built this because we wanted the accessibility of no-code workflow builders (n8n, Zapier),…
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