Skip to main content
Glama
wolfsidevstudios

LayoutPilot MCP Server

Official

generate_ui

Generates a full UI layout by converting a natural language description into production-ready code, returning a URL to open LayoutPilot with the prompt pre-loaded for instant generation.

Instructions

Generate a full UI layout using LayoutPilot AI. Returns a URL that opens LayoutPilot with your prompt ready to generate production-ready UI code using Gemini 3.0 Flash.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesDescription of the UI to generate (e.g., 'Modern dashboard with sidebar navigation and analytics cards')
auto_submitNoWhether to automatically start generating when the URL is opened. Defaults to true.
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the behavioral disclosure burden. It mentions returning a URL and notes it uses Gemini 3.0 Flash, which is helpful. However, it doesn't disclose potential side effects — that opening the URL may trigger external generation activity (auto_submit), or that auto_submit defaults to true meaning generation starts immediately. While auto_submit is documented in the schema, the description could have flagged the external-service interaction more clearly.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence, which is appropriately brief, but it's somewhat dense and runs long, packing multiple ideas (generates UI, returns URL, opens LayoutPilot, uses Gemini 3.0 Flash). The sentence is front-loaded with the core purpose but could be split for readability. No wasted words, but the structure could be cleaner.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a relatively simple 2-parameter tool with 100% schema coverage and no output schema, this is nearly complete. The description explains the mechanism (returns a URL that opens LayoutPilot) and the technology. However, it doesn't clarify what the returned URL's relationship to sibling open_layoutpilot is, and doesn't explain what the agent should expect once the URL is opened (does generation happen automatically? For how long?). The auto_submit interaction could bridge some of this but isn't referenced in the description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters well — the prompt example ('Modern dashboard with sidebar navigation...') and auto_submit's default behavior. Given high coverage, the baseline is 3. The description adds value by clarifying 'full UI layout' as the scope of the prompt and 'production-ready UI code' as the outcome, reinforcing what the prompt parameter produces. Nothing more needed since coverage is complete.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool generates a full UI layout using LayoutPilot AI and returns a URL. The verb 'generate' plus resource 'full UI layout' is specific. However, it doesn't distinguish itself from sibling tools generate_component or open_layoutpilot — notably, open_layoutpilot could plausibly behave similarly (opening LayoutPilot with a prompt). The mention of 'production-ready UI code using Gemini 3.0 Flash' adds useful specificity about output.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states it generates a full UI and returns a URL, but gives no guidance on when to choose this over generate_component (for components) or open_layoutpilot (which also seems LayoutPilot-related). There's no explicit 'when not to use' or alternative naming. The context implies a full-layout use case versus component-level, but this is never stated directly.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/wolfsidevstudios/layoutpilot-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server