App · Agents

170 native MCP tools. Full REST. Your agent, your project.

Every endpoint Layerline uses internally is exposed as a native MCP tool. User-issued API keys, auto-generated Swagger, an in-product Project Assistant that calls those tools as it works alongside you.

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See the features

agents & ai.layerline.co

Screenshot · Agents & AI

The problem

What this app solves.

AI in product usually means a chat sidebar that can't actually do anything. The agent has no access to your real state. Bringing your own agent means scraping HTML or reverse-engineering an undocumented API.

01 In-product AI that can only see what's in the current screen
02 No way to give an agent the full project context
03 Vendor SDKs that wrap half of an actual REST API
04 Coming-soon agentic workflows that never actually arrive

Features

Built for the way teams actually work.

01 · feature

170 native MCP tools

A verified 170 tools cover projects, tasks, assets, reviews, storage, generation, milestones, moodboards, GDDs, time tracking, notifications, and the dashboard. Any tool an MCP-compatible agent can call.

apps/tooling-api/src/modules/mcp/tools/*

02 · feature

User-issued API keys

Generate your own API keys with an `ll_mk_*` prefix from the platform. Use them from any client — your editor, your CI, your custom agent host. Revoke at any time.

mcp/api-key.service.ts

03 · feature

Full REST API with auto-generated Swagger

Every MCP tool corresponds to a real REST endpoint. Swagger lives at `/api/docs` with bearer-token auth wired in. No undocumented surface to reverse-engineer.

tooling-api/main.ts (SwaggerModule)

04 · feature

In-product Project Assistant

A built-in agent inside the Layerline desktop calls the MCP server through a proxy. It already knows your project, your assets, your tasks — because it talks to them with the same tools you'd use.

src-ui/hooks/useAgent.ts (McpProxyTool)

05 · feature

AI helpers callable from anywhere

Prompt enhancement, review summaries, comment summaries, approval readiness, asset naming — all exposed as MCP tools. Use them inside Layerline, or call them from your own LLM pipeline.

enhance_genstudio_prompt · summarize_review_comments · estimate_approval_readiness · asset-suggestion.service.ts

Use it from your code

Native MCP. Full REST.

Every endpoint Layerline uses internally is yours. Call it from an agent, from a CI step, from your DCC plugin. No vendor SDK, no rate-limit surprises.

agent.example.ts

// Spin an agent up against the Layerline MCP server
const client = new MCPClient({
  server: "https://mcp.layerline.co",
  apiKey: process.env.LAYERLINE_API_KEY, // ll_mk_…
});

// 170 tools available. List them, call them, build with them.
const tools = await client.listTools();
console.log(tools.length); // 170

Plays well with

The rest of the platform.

App · GenStudio

GenStudio

One unified `generate` entrypoint covers image, image-to-3D, text-to-3D, texture, retopology, LOD, rigging, animation, and audio SFX. Provider routing picks between FAL, Meshy, Tripo, Hunyuan3D, and ElevenLabs. Batch 1–50 with atomic credit reservation.

App · Reviews

Review Studio

A real review workflow — draft, submitted, in-review, decided, reopened, superseded. Per-file approve / changes / reject. Threaded comments with severity. Annotation overlays. Plus three AI helpers that summarise changes, summarise comments, and estimate approval readiness.

App · Storage

Layerline Storage

Lock the file you're working on, restore any prior version, share with a public or password-protected link, and keep cloud and desktop in sync via a Rust engine — without paying for a separate version-control product.

One OS. Every app. Yours.

Start free. No credit card, no procurement loop. Scale to a studio when you're ready.

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