Host · Gateway · Agent

Ship real
agents, not
demos.

Run the runtime on Host or your own infrastructure, front OAuth-backed servers with Gateway, and ship governed agents internally or inside your product.

Import your APIExplore Gateway
Claude
ChatGPT
Cursor
VS Code
Windsurf
+ Agents
01
Host

You already wrote the OpenAPI spec. You shouldn't also have to write a runtime, fight cold starts, and answer “how do I connect this to Cursor?” in your support inbox. Drop the spec in. We run the server.

  • One URL that just works in Claude, ChatGPT, Cursor, and VS Code
  • Push a fix to your API — agents see new tools the next minute
  • No “who’s on call for the MCP server” Slack thread, ever
Explore Host
emcy.ai

Acme API

47 tools

Live

Internal Ops

18 tools

Live

Staging

47 tools

Draft
99.98% uptime this month

Emcy dashboard — deploy and monitor MCP servers

Gateway Auth EdgeLive

Public URL

Claude · Cursor · Embed

mcp.emcy.ai/gw_acme_support

Gateway Profile

42 active grants

DCR + preregistered + redirect policy

Request Logs

Per-user attribution

Identity-aware request traces with auth metadata

Per-user logs, grants, and auth traces

Gateway auth edge — discovery, grants, redirects, and logs

02
Gateway

Your API has accounts. Users want the agent to act as themselves. In between is a stack of OAuth specs nobody on your team wants to touch. We sit on that stack so you don't have to.

  • Users log in once and the agent acts as them — in every client
  • Access tokens stay server-side, out of the browser, out of your incident reports
  • Works with whatever runtime you already have — openapi-to-mcp, FastMCP, or your own MCP server
Explore Gateway
Embedded AgentActive
Refund order #4812 and update the timeline.
I'll narrow tools, execute the refund, and update your UI.

Run trace

1orders.cancel
2payments.refund
3ui.refreshRow
Same-user permissions preserved

Embedded agent — tool selection, execution, and UI updates

03
Agent

An Emcy agent is the configured surface for your AI feature. Give it the right tools, budget policy, and identity behavior once, then run it internally, share it with customers, or embed it directly in your app when that is the right user experience.

  • One agent can power internal workflows, customer access, and embedded product surfaces
  • Configuration, tools, origins, and user budgets stay attached to the agent itself
  • When you do embed it, the same agent shows up signed in and ready to act in context
Explore Agents

0%

Uptime SLA

Always-warm containers

0x

Fewer tokens

Intelligent tool selection

<0ms

Tool selection

Before the model sees anything

Get started

Start with Host if you have an API. Add Gateway the day your users need to sign in. Drop in Embed when you're ready to put the agent inside your product.

Import OpenAPIRead documentation