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scaffold_site

Generate a whole site in one shot from a single spec instead of set_site field-by-field: sets the home page (title, tagline, theme, sections) and creates each initial sub-page. Persisted through the website store and rendered to the site location (<project>/site/ by default, or the project

SERVERFeatureBoard SOURCEhttps://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin
Medium RISK CLASS
Category Write
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ai-featureboard-featureboard/scaffold-site.md

What scaffold_site does on FeatureBoard

AI agents use scaffold_site to create or update resources in FeatureBoard, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your FeatureBoard environment.

Why scaffold_site is rated Medium

This tool generates and persists site content (home page, sub-pages) to the file system, which is reversible data creation/modification. It does not execute arbitrary code, delete data, or move money. The severity is medium rather than low because bulk generation of site content could consume resources or overwrite existing site configurations if misused by an agent without proper safeguards.

From the tool's definition Creates or modifies data: 'Generate a whole site in one shot from a single spec', 'sets the home page', 'creates each initial sub-page', 'Persisted through the website store and rendered to the site location'

Questions about scaffold_site

What does the scaffold_site tool do? +

Generate a whole site in one shot from a single spec instead of set_site field-by-field: sets the home page (title, tagline, theme, sections) and creates each initial sub-page. Persisted through the website store and rendered to the site location (<project>/site/ by default, or the project. It is categorised as a Write tool in the FeatureBoard MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on scaffold_site? +

Register the FeatureBoard MCP server in PolicyLayer and add a rule for scaffold_site: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches FeatureBoard. Nothing to install.

What risk level is scaffold_site? +

scaffold_site is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit scaffold_site? +

Yes. Add a rate_limit block to the scaffold_site rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block scaffold_site completely? +

Set action: deny in the PolicyLayer policy for scaffold_site. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides scaffold_site? +

scaffold_site is provided by the FeatureBoard MCP server (https://github.com/valentil/featureboard-mcp/releases/download/v0.7/featureboard.plugin). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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