Layer MCP
All of Layer, inside your agent
Connect any AI agent to Layer in under a minute and generate images, video, 3D, and audio with 301+ models — right where you already work.
OAuth, no API key. Works with Claude, Cursor, VS Code, Codex, and any MCP client.
Connect in under a minute
Pick your client and follow three steps. No API key, no local install for most clients.
- 1
Open Settings › Connectors in Claude and click Add custom connector.
- 2
Paste the Layer MCP server URL:
https://mcp.app.layer.ai/mcp - 3
Click Add, then sign in with your Layer account when Claude prompts you.
- 1
Add the server from your terminal:
claude mcp add --transport http Layer https://mcp.app.layer.ai/mcp - 2
Run
/mcp, select Layer, and choose Authenticate.
- 1
Open Settings › Features › MCP and click Add New MCP Server.
- 2
Choose Streamable HTTP, name it
Layer, and use this URL:https://mcp.app.layer.ai/mcp - 3
OAuth triggers automatically — sign in with your Layer account.
- 1
Add Layer to
.vscode/mcp.json:{ "servers": { "Layer": { "type": "http", "url": "https://mcp.app.layer.ai/mcp" } } } - 2
OAuth triggers on first use — sign in with your Layer account.
- 1
Register the server with the Codex CLI:
codex mcp add layer -- npx -y mcp-remote@latest https://mcp.app.layer.ai/mcp - 2
OAuth triggers on first use.
- 1
Add Layer to
~/.codeium/windsurf/mcp_config.json:{ "mcpServers": { "Layer": { "serverUrl": "https://mcp.app.layer.ai/mcp" } } } - 2
Verify it works by asking: "What can I do with Layer?"
- 1
Any client that can launch a command connects through the
mcp-remotebridge:{ "mcpServers": { "Layer": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.app.layer.ai/mcp"] } } } - 2
Zed, Warp, Gemini CLI, Amp, OpenCode, OpenClaw, Hermes, and Manus have dedicated instructions in the setup docs.
Using Zed, Warp, Gemini CLI, Amp, OpenCode, OpenClaw, Hermes, or Manus? See all clients.
From conversation to finished asset
Every modality Layer supports is reachable as a tool call. Ask in plain language; your agent picks the model, prices the job, runs it, and hands back the files.
Turn a sentence into finished art
Icons, key art, characters, environments, and UI — generated on transparent backgrounds or to your brief, in batches, without leaving the chat.
Bring a still or an idea to life
Animate existing art or generate clips from a prompt, then assemble multi-shot timelines and render them — all through tool calls.
Reference image to 3D asset
Generate production-ready 3D models from a prompt or a reference image, ready to pull into Unity, Unreal, or Blender.
Sound effects and music on cue
Generate SFX, ambience, and music beds for prototypes and trailers in the same conversation as the visuals.
Prompts to start with
Paste one into a connected agent. It will choose the tools, estimate the cost, and show you the results.
Icon variations
“Generate 4 variations of a crystal sword icon on a transparent background.”
3D from reference
“Create a 3D model of a treasure chest from this reference image.”
Run a team workflow
“Run the product shot workflow with a photo of my item.”
Animate a still
“Turn this key art into a 5-second looping video for our store page.”
Model discovery
“Show me what image models are available for my workspace.”
Budget check
“How many Creative Units do I have left?”
21 tools, selected automatically
You never call these by hand. Your agent reads Layer's instructions first, then picks what it needs.
Models
3Discover which generative models your workspace can use, and get recommendations for a task.
Forge
3Run a single model directly with full control over its parameters.
Workflows
5Execute the multi-step pipelines your team built in the Blueprint editor.
Video timeline
3Assemble and render multi-shot video timelines from generated clips.
Files
2Upload local files or public URLs to use as references and inputs.
Workspaces
2List and inspect the Layer workspaces you belong to, including Creative Unit balance.
Instructions
3Platform guidance the agent reads first, so it uses the rest of the toolset correctly.
Built for studio production, not demos
The same models, pipelines, budgets, and permissions your team already uses in Layer — reachable from an agent.
Your studio workflows, callable
The Blueprint pipelines your art directors already approved show up as tools. Your agent runs them with your inputs, so output stays on-style instead of drifting.
Costs estimated before they run
Every generation tool has a matching estimate tool. The agent can price a job in Creative Units and check your balance before spending anything.
One credit pool, no new seats
MCP usage draws on the same Creative Units as the app. Connecting an agent does not add per-seat cost for your team.
Workspace permissions still apply
The server authenticates as you over OAuth and respects your workspace roles. Admin tooling sits on a separate management server, out of the creative toolset.
MCP questions
What is MCP?
Do I need an API key?
https://mcp.app.layer.ai/mcp as the server URL and sign in with your Layer account when your agent asks you to connect. If your client does not support OAuth, you can authenticate with a Personal Access Token instead. Which agents and editors are supported?
mcp-remote bridge. What can I actually do through the server?
Which models are available?
How does billing work?
How fast is it?
Can I manage my workspace through MCP too?
Is it available on my plan?
Still curious? Read why we built Layer MCP, or browse the full documentation.
Bring Layer into your agent
Connect in under a minute and start generating right where you already work.