How is Milkey different from just configuring MCP servers locally?

Local setup lives on one machine, in one project. You repeat it every time you switch agents, repos, or computers, and teams drift out of sync. Milkey hosts your skills centrally, so you connect once and the same skills are available everywhere — no per-environment config to maintain.

Does Milkey save tokens compared to using local skills in Cursor?

Yes. With local skills, all of your skill descriptions are sent to the LLM on every request — 20 skills means 20 descriptions in every prompt, even when one is relevant. Milkey loads skills at runtime through MCP tool calls, so only the skill the agent actually needs is sent. Smaller prompts mean lower cost and faster responses.

Does Milkey replace my AI coding agent?

No. Milkey is not an editor or a replacement for Cursor, Claude Code, Codex, or Windsurf. It enhances the agent you already use by giving it a shared, runtime-loaded skills layer.

How do I connect Milkey?

Run `npx @milkeyskills/cli@latest setup` to connect the hosted MCP server to your agent. For product integrations, use the REST API or the official `@milkeyskills/sdk` package on npm.

Stop setting up the same skillsin every agent and project.

Milkey is a hosted MCP server that gives your AI coding agents one shared skills layer. Connect Cursor, Claude Code, Codex, or Windsurf once and load curated skills at runtime — no more copying prompt files between agents, projects, and machines.

Start free

Read docs

Skills load at runtime, only when they are needed — so your agent stops burning tokens on 20 skill descriptions it never uses.

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Cursor

Claude Code

Windsurf

VS Code

OpenAI

Anthropic

Gemini

Developers: Connect Milkey to the AI coding tools you already use

Connect the hosted MCP server to Cursor, Claude Code, Codex, or Windsurf once. Your skills are there in every repo — no local skill files to copy, no setup to redo when you switch projects.

✦Connect once and every agent gets the same skills
✦Stop copying prompt files and redoing setup in every project
✦Skills load at runtime, so you never ship 20 descriptions in every prompt

Connect with MCP

Products: Embed Milkey directly into your application stack

When you need Milkey inside your own product, use the REST API or official SDK to expose skills programmatically while keeping authentication, billing, and delivery centralized.

✦Keep your existing OpenAI, Anthropic, or Gemini architecture intact
✦Expose Milkey skills as native callable tools inside your application
✦Use one API key and one hosted platform across all integrations

Explore product docs

Works with the AI tools your team already trusts

Milkey doesn't ask teams to abandon the workflows they already rely on. It fits alongside agent tools like Cursor, Claude Code, and Codex while staying compatible with existing model-provider infrastructure.

Cursor

Claude Code

Codex

REGISTRY

./skills/resolve

Resolve a skill
at runtime

Hosted MCPCloud Infrastructure

import { milkey }

from "@milkeyskills/sdk"

milkey.connect()

Official SDKType-safe client

Built to slot into your current stack

Use Milkey from agent-facing MCP connections, product-facing API integrations, or the official TypeScript SDK without rewriting the rest of your architecture.

Pick how you connect Milkey

Most developers connect the hosted MCP server straight to their agent. Building a product? Use the REST API for backend calls, or the SDK to wire Milkey into your own code.

Every path hits the same hosted skills, so your skills stay consistent no matter how you connect — one source of truth instead of setup duplicated across tools.

Hosted delivery

One managed skills platform behind MCP, API, and SDK access.

Shared standards

Keep teams aligned on the same registry, auth flow, and rollout path.

Fewer rewrites

Fit Milkey into existing agent workflows and backend systems without replatforming.

MCP Server+

Resolve

Get Skill

REST API+

One hosted registryShared authConsistent rollout

Add Milkey to your product, keep your provider

The @milkeyskills/sdk package is the quickest way to put Milkey inside an AI product. Keep your OpenAI, Anthropic, or Gemini stack and expose Milkey skills as tools the model can call.

The SDK handles resolving, fetching, and running the right skill, so you go from install to production with very little code.

Provider-compatible

Keep OpenAI, Anthropic, Gemini, or AI SDK orchestration exactly where it is.

Tool-ready flow

Resolve, fetch, and expose skills as callable tools with minimal glue code.

Production path

Move from install to rollout with one package instead of a custom integration layer.

Install the SDK

TypeScript SDK+

Skills Ready

Tool Calling+

Milkey website preview showing the hosted skills platform

Start with the installation path that gets you live fastest

Read installation guide

Already shipping

Live MCP server, published SDK, and a founder shipping in public.

Secure access

Hosted delivery

Multi-provider

Why teams trust Milkey

Curated skillsinstead of random open-source prompt packs

Hosted deliveryso your team avoids local setup drift

Shared standardsacross tools, products, and contributors

Why teams can operate cleanly

API keysfor secure, authenticated skill delivery

Usage visibilityto monitor requests, plans, and adoption

Central controlacross MCP, API, and SDK access paths

View pricing

Real product proof, not recycled SaaS filler.

Published SDK

@milkeyskills/sdk is already shipping

Official TypeScript package on npm for product integrations

Milkey is not just an idea on a landing page. The official SDK is already published, versioned, and designed to plug skills into real OpenAI, Anthropic, Gemini, and AI SDK workflows.

See SDK docs

Hosted MCP

The MCP server is built for real agent usage

Connect Milkey to Cursor, Claude Code, Codex, and other compatible tools

Developers can connect once and let Milkey resolve and serve curated skills at runtime instead of managing local prompt packs across every environment.

See MCP setup

REST API

API access is ready for product and enterprise teams

Standard HTTP flow for backend systems and custom platforms

When teams need direct programmatic control, Milkey exposes the same hosted skills platform through the API so products can embed resolve and retrieval flows cleanly.

Review product docs

Founder Proof

The product already has shipping momentum

Live platform, launched product, and active founder execution

Milkey already has a live MCP server, live REST API, a published SDK, and a founder shipping in public. That matters more than generic claims because it reduces adoption risk for new users.

Read the story

Published SDK

@milkeyskills/sdk is already shipping

Official TypeScript package on npm for product integrations

Milkey is not just an idea on a landing page. The official SDK is already published, versioned, and designed to plug skills into real OpenAI, Anthropic, Gemini, and AI SDK workflows.

See SDK docs

Hosted MCP

The MCP server is built for real agent usage

Connect Milkey to Cursor, Claude Code, Codex, and other compatible tools

Developers can connect once and let Milkey resolve and serve curated skills at runtime instead of managing local prompt packs across every environment.

See MCP setup

REST API

API access is ready for product and enterprise teams

Standard HTTP flow for backend systems and custom platforms

When teams need direct programmatic control, Milkey exposes the same hosted skills platform through the API so products can embed resolve and retrieval flows cleanly.

Review product docs

Founder Proof

The product already has shipping momentum

Live platform, launched product, and active founder execution

Milkey already has a live MCP server, live REST API, a published SDK, and a founder shipping in public. That matters more than generic claims because it reduces adoption risk for new users.

Read the story

Published SDK

@milkeyskills/sdk is already shipping

Official TypeScript package on npm for product integrations

Milkey is not just an idea on a landing page. The official SDK is already published, versioned, and designed to plug skills into real OpenAI, Anthropic, Gemini, and AI SDK workflows.

See SDK docs

Hosted MCP

The MCP server is built for real agent usage

Connect Milkey to Cursor, Claude Code, Codex, and other compatible tools

Developers can connect once and let Milkey resolve and serve curated skills at runtime instead of managing local prompt packs across every environment.

See MCP setup

REST API

API access is ready for product and enterprise teams

Standard HTTP flow for backend systems and custom platforms

When teams need direct programmatic control, Milkey exposes the same hosted skills platform through the API so products can embed resolve and retrieval flows cleanly.

Review product docs

Founder Proof

The product already has shipping momentum

Live platform, launched product, and active founder execution

Milkey already has a live MCP server, live REST API, a published SDK, and a founder shipping in public. That matters more than generic claims because it reduces adoption risk for new users.

Read the story

Start free

Ready to connect Milkey to your workflow?

Guides & Docs

Explore the pages people actually search for before they buy

Move from category-level questions to implementation detail with a mix of product docs, comparison pages, and educational guides around AI agent skills, MCP skills, coding-agent setup, and the Milkey TypeScript SDK.

Why AI agent skills are required

Start with the core workflow problem that reusable skills solve for teams.

What are AI agent skills?

Learn the core definition, how skills work, and why they improve repeated AI tasks.

AI agent skills in 2026

Read the flagship guide to SKILL.md, cross-tool portability, and when hosted skill infrastructure becomes necessary.

What are MCP skills?

Understand how MCP-delivered skills differ from generic tool connections and prompt fragments.

MCP skills examples

See concrete examples of MCP skill workflows that map to real coding-agent and product use cases.

Cursor MCP setup guide

Connect Milkey to Cursor with the correct remote MCP config and a fast verification path.

Codex MCP setup guide

TypeScript SDK for AI agents

Add hosted or inline Milkey skills to OpenAI, Anthropic, Gemini, and AI SDK applications.

AI agent skills library guide

Learn why teams need a central place to organize, version, and improve reusable skills.

Where do you want to start?

Developers connect through the docs. Teams usually want pricing and rollout next.

Start as a developer

Connect Milkey to your first agent and see how hosted skills load at runtime.

Open developer docs

Evaluate as a team

Check plans and access tiers before rolling Milkey out across your team.

View pricing