The hosted platform for MCP Apps
From app to agent.
In minutes.
Metabind turns the UI components and APIs you already have into an agent your customers can talk to. It takes them straight to what they came for. No menus. No hunting. We host it, so there's no server to run. Live in your app and across Claude, ChatGPT, and every MCP host.
Try the Demo
Start Free
Mobile Demo
Desktop Demo
Your customers are already asking AI.
They don't browse. They ask. And today the answer is a paragraph in a chat window. Text where your product should be. Metabind turns each question into an interactive experience.
Your design system.
In the conversation.
Your agent doesn't type back. It shows you. Product cards, dashboards, galleries, video, 3D, rendered in the conversation as your actual interface, not a wall of text. Your components become Interactive Tools, and the agent can render only the ones you approved, validated on every render.
Interactive Tools Docs
Wrap your APIs. Securely.
Your APIs become tools the agent can call, wrapped by the Metabind CLI alongside your components. Data Tools proxy any REST or GraphQL endpoint. V8 sandbox. Secrets injected per tool. Outbound HTTP restricted.
Data Tools Docs
Write once. Native everywhere.
SwiftUI on iOS. Jetpack Compose on Android. React on web. From a single BindJS definition. Real native rendering, not web views. 60 FPS on every platform. BindJS, the language underneath, is open source. Apache 2.0, every renderer and SDK included.
BindJS Docs
MCP App Studio. Build it, then talk to it.
Build components visually or in code, configure your tools, and author the agent's script. Then open the Playground and talk to the agent you just built. Change something, ask again, no deploy in between.
MCP App Studio Docs
Playground
Tools
Components
Assets
Visual builder
Build components in a visual canvas or drop straight into code. Inspector, save states, version history.
Playground
Talk to your agent inside the Studio with your tools running live. Change a component or the script, ask again, and see exactly what your customer would see.
Test on real devices
Preview any component as real SwiftUI on your phone via App Clip, no install. Or point the Assistant SDK at your draft endpoint and run the whole agent inside your own app.
You define the tools. We run the server.
Press publish and Metabind generates an MCP server from your tools, hosts it, scales it, and monitors it. Built on the open Model Context Protocol (SEP-1724) and the MCP Apps extension (SEP-1865), so it runs in any MCP host.
Nothing to provision
No transport code, no host conformance, no deploy pipeline.
Zero-downtime publishes
Promoting a new version is a metadata flip, not a deployment. Production routes to it on the next request.
Scale is the default
Serverless and auto-scaling on AWS. Component packages are content-addressed and edge-cached, so your tools render at the user's location with no cold start.
Assistant SDK. Your agent, inside your own app.
Drop-in embed for iOS, Android, and web. Your MCP App runs as a governed agent inside your own application, with the same tools, the same script, and your brand. And it's the same MCP App that's live in Claude, ChatGPT, and every MCP host. One publish, every surface.
Assistant SDK Docs
What you don't have to build.
An agent in production is mostly infrastructure that isn't your product. That part is ours.
MCP protocol boilerplate
Tool registration, transport, host conformance. Generated when you press publish.
Schema validation
Every tool response is checked against its schema before anything renders. Invalid data is rejected with a typed error and never reaches your user.
Versioning and rollback
Every publish is an immutable, semantically versioned package. Stage it, test it, promote it. Bad render in production? One button back.
Evaluation and observability
Every tool call traced, across every host. Langfuse integration on all paid plans, so you can evaluate and tune your agent on real conversations instead of guessing.
A media pipeline
Drop in photos, video, and 3D. Encoded, indexed for semantic search, served from the CDN. No vector database to wire up.
Three native rendering engines
One BindJS definition renders as real SwiftUI, Jetpack Compose, and React, inline in the conversation on all three. Building that yourself means three engines held in parity.
Three steps from the app you have to the agent your customers use.
Getting Started Docs
1
Convert
Your coding agent converts your SwiftUI, Jetpack Compose, or React components, or a Figma file, into BindJS. The Metabind CLI imports them into your workspace and wraps your REST or GraphQL endpoints as tools. Your design system carries over. Only the syntax changes.
2
Preview
Talk to your agent before your customers do. The Playground in MCP App Studio runs your tools live, so you can change a component or the agent's script and see the result in the same pass. To test on a real device, point the Assistant SDK at your draft endpoint and run your own app.
3
Publish
One button. Metabind generates a standards-compliant MCP server, hosts it, and scales it. Your agent goes live inside your own app through the Assistant SDK, and across Claude, ChatGPT, and every MCP host.
Build with Claude Code and Codex.
Point your coding agent at your Metabind workspace and it drives the whole loop from the terminal: convert your components, wrap your APIs, manage tools, and publish. The CLI is a small client for your workspace. Metabind itself is hosted, so there's nothing to run locally.
CLI Docs
Common Questions
The hosted platform for MCP Apps
From app to agent.
In minutes.
Metabind turns the UI components and APIs you already have into an agent your customers can talk to. It takes them straight to what they came for. No menus. No hunting. We host it, so there's no server to run. Live in your app and across Claude, ChatGPT, and every MCP host.
Try the Demo
Start Free
Mobile Demo
Desktop Demo
Your customers are already asking AI.
They don't browse. They ask. And today the answer is a paragraph in a chat window. Text where your product should be. Metabind turns each question into an interactive experience.
Your design system.
In the conversation.
Your agent doesn't type back. It shows you. Product cards, dashboards, galleries, video, 3D, rendered in the conversation as your actual interface, not a wall of text. Your components become Interactive Tools, and the agent can render only the ones you approved, validated on every render.
Interactive Tools Docs
Wrap your APIs. Securely.
Your APIs become tools the agent can call, wrapped by the Metabind CLI alongside your components. Data Tools proxy any REST or GraphQL endpoint. V8 sandbox. Secrets injected per tool. Outbound HTTP restricted.
Data Tools Docs
Write once. Native everywhere.
SwiftUI on iOS. Jetpack Compose on Android. React on web. From a single BindJS definition. Real native rendering, not web views. 60 FPS on every platform. BindJS, the language underneath, is open source. Apache 2.0, every renderer and SDK included.
BindJS Docs
MCP App Studio. Build it, then talk to it.
Build components visually or in code, configure your tools, and author the agent's script. Then open the Playground and talk to the agent you just built. Change something, ask again, no deploy in between.
MCP App Studio Docs
Playground
Tools
Components
Assets
Visual builder
Build components in a visual canvas or drop straight into code. Inspector, save states, version history.
Playground
Talk to your agent inside the Studio with your tools running live. Change a component or the script, ask again, and see exactly what your customer would see.
Test on real devices
Preview any component as real SwiftUI on your phone via App Clip, no install. Or point the Assistant SDK at your draft endpoint and run the whole agent inside your own app.
You define the tools. We run the server.
Press publish and Metabind generates an MCP server from your tools, hosts it, scales it, and monitors it. Built on the open Model Context Protocol (SEP-1724) and the MCP Apps extension (SEP-1865), so it runs in any MCP host.
Nothing to provision
No transport code, no host conformance, no deploy pipeline.
Zero-downtime publishes
Promoting a new version is a metadata flip, not a deployment. Production routes to it on the next request.
Scale is the default
Serverless and auto-scaling on AWS. Component packages are content-addressed and edge-cached, so your tools render at the user's location with no cold start.
Assistant SDK. Your agent, inside your own app.
Drop-in embed for iOS, Android, and web. Your MCP App runs as a governed agent inside your own application, with the same tools, the same script, and your brand. And it's the same MCP App that's live in Claude, ChatGPT, and every MCP host. One publish, every surface.
Assistant SDK Docs
What you don't have to build.
An agent in production is mostly infrastructure that isn't your product. That part is ours.
MCP protocol boilerplate
Tool registration, transport, host conformance. Generated when you press publish.
Schema validation
Every tool response is checked against its schema before anything renders. Invalid data is rejected with a typed error and never reaches your user.
Versioning and rollback
Every publish is an immutable, semantically versioned package. Stage it, test it, promote it. Bad render in production? One button back.
Evaluation and observability
Every tool call traced, across every host. Langfuse integration on all paid plans, so you can evaluate and tune your agent on real conversations instead of guessing.
A media pipeline
Drop in photos, video, and 3D. Encoded, indexed for semantic search, served from the CDN. No vector database to wire up.
Three native rendering engines
One BindJS definition renders as real SwiftUI, Jetpack Compose, and React, inline in the conversation on all three. Building that yourself means three engines held in parity.
Three steps from the app you have to the agent your customers use.
Getting Started Docs
1
Convert
Your coding agent converts your SwiftUI, Jetpack Compose, or React components, or a Figma file, into BindJS. The Metabind CLI imports them into your workspace and wraps your REST or GraphQL endpoints as tools. Your design system carries over. Only the syntax changes.
2
Preview
Talk to your agent before your customers do. The Playground in MCP App Studio runs your tools live, so you can change a component or the agent's script and see the result in the same pass. To test on a real device, point the Assistant SDK at your draft endpoint and run your own app.
3
Publish
One button. Metabind generates a standards-compliant MCP server, hosts it, and scales it. Your agent goes live inside your own app through the Assistant SDK, and across Claude, ChatGPT, and every MCP host.
Build with Claude Code and Codex.
Point your coding agent at your Metabind workspace and it drives the whole loop from the terminal: convert your components, wrap your APIs, manage tools, and publish. The CLI is a small client for your workspace. Metabind itself is hosted, so there's nothing to run locally.
CLI Docs
Common Questions
The hosted platform for MCP Apps
From app to agent.
In minutes.
Metabind turns the UI components and APIs you already have into an agent your customers can talk to. It takes them straight to what they came for. No menus. No hunting. We host it, so there's no server to run. Live in your app and across Claude, ChatGPT, and every MCP host.
Try the Demo
Start Free
Mobile Demo
Desktop Demo
Your customers are already asking AI.
They don't browse. They ask. And today the answer is a paragraph in a chat window. Text where your product should be. Metabind turns each question into an interactive experience.
Your design system.
In the conversation.
Your agent doesn't type back. It shows you. Product cards, dashboards, galleries, video, 3D, rendered in the conversation as your actual interface, not a wall of text. Your components become Interactive Tools, and the agent can render only the ones you approved, validated on every render.
Interactive Tools Docs
Wrap your APIs. Securely.
Your APIs become tools the agent can call, wrapped by the Metabind CLI alongside your components. Data Tools proxy any REST or GraphQL endpoint. V8 sandbox. Secrets injected per tool. Outbound HTTP restricted.
Data Tools Docs
Write once. Native everywhere.
SwiftUI on iOS. Jetpack Compose on Android. React on web. From a single BindJS definition. Real native rendering, not web views. 60 FPS on every platform. BindJS, the language underneath, is open source. Apache 2.0, every renderer and SDK included.
BindJS Docs
MCP App Studio. Build it, then talk to it.
Build components visually or in code, configure your tools, and author the agent's script. Then open the Playground and talk to the agent you just built. Change something, ask again, no deploy in between.
MCP App Studio Docs
Playground
Tools
Components
Assets
Visual builder
Build components in a visual canvas or drop straight into code. Inspector, save states, version history.
Playground
Talk to your agent inside the Studio with your tools running live. Change a component or the script, ask again, and see exactly what your customer would see.
Test on real devices
Preview any component as real SwiftUI on your phone via App Clip, no install. Or point the Assistant SDK at your draft endpoint and run the whole agent inside your own app.
You define the tools. We run the server.
Press publish and Metabind generates an MCP server from your tools, hosts it, scales it, and monitors it. Built on the open Model Context Protocol (SEP-1724) and the MCP Apps extension (SEP-1865), so it runs in any MCP host.
Nothing to provision
No transport code, no host conformance, no deploy pipeline.
Zero-downtime publishes
Promoting a new version is a metadata flip, not a deployment. Production routes to it on the next request.
Scale is the default
Serverless and auto-scaling on AWS. Component packages are content-addressed and edge-cached, so your tools render at the user's location with no cold start.
Assistant SDK. Your agent, inside your own app.
Drop-in embed for iOS, Android, and web. Your MCP App runs as a governed agent inside your own application, with the same tools, the same script, and your brand. And it's the same MCP App that's live in Claude, ChatGPT, and every MCP host. One publish, every surface.
Assistant SDK Docs
What you don't have to build.
An agent in production is mostly infrastructure that isn't your product. That part is ours.
MCP protocol boilerplate
Tool registration, transport, host conformance. Generated when you press publish.
Schema validation
Every tool response is checked against its schema before anything renders. Invalid data is rejected with a typed error and never reaches your user.
Versioning and rollback
Every publish is an immutable, semantically versioned package. Stage it, test it, promote it. Bad render in production? One button back.
Evaluation and observability
Every tool call traced, across every host. Langfuse integration on all paid plans, so you can evaluate and tune your agent on real conversations instead of guessing.
A media pipeline
Drop in photos, video, and 3D. Encoded, indexed for semantic search, served from the CDN. No vector database to wire up.
Three native rendering engines
One BindJS definition renders as real SwiftUI, Jetpack Compose, and React, inline in the conversation on all three. Building that yourself means three engines held in parity.
Three steps from the app you have to the agent your customers use.
Getting Started Docs
1
Convert
Your coding agent converts your SwiftUI, Jetpack Compose, or React components, or a Figma file, into BindJS. The Metabind CLI imports them into your workspace and wraps your REST or GraphQL endpoints as tools. Your design system carries over. Only the syntax changes.
2
Preview
Talk to your agent before your customers do. The Playground in MCP App Studio runs your tools live, so you can change a component or the agent's script and see the result in the same pass. To test on a real device, point the Assistant SDK at your draft endpoint and run your own app.
3
Publish
One button. Metabind generates a standards-compliant MCP server, hosts it, and scales it. Your agent goes live inside your own app through the Assistant SDK, and across Claude, ChatGPT, and every MCP host.
Build with Claude Code and Codex.
Point your coding agent at your Metabind workspace and it drives the whole loop from the terminal: convert your components, wrap your APIs, manage tools, and publish. The CLI is a small client for your workspace. Metabind itself is hosted, so there's nothing to run locally.
CLI Docs
Common Questions