AI DESIGN BLUEPRINT TOOLS

24 tools from the AI Design Blueprint MCP Server, categorised by risk level.

READ 12 tools
Read clusters.list List all principle clusters with their stable slugs and linked principle titles. Use this to discover which... Read examples.get Get one curated example by stable slug. Returns title, summary, source-code links, principle coverage (the ... Read examples.search Search curated examples by free-text query, ranked by relevance, with optional filters: principle_ids (only... Read guides.get Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Ret... Read guides.list List application guides that show how Blueprint principles apply to engineering challenges (security, evalu... Read guides.search Search application guides by free-text query, matched against section answers and action items. Use this wh... Read me.coaching_context Authenticated — returns stages in the caller's active course where recorded evidence is thin relative to th... Read me.learning_path Authenticated — returns the caller's Blueprint learning-path state: current course slug, stage progress, ce... Read principles.get Get one Blueprint principle by stable slug. Returns id, title, cluster, definition, rationale, risk-if-viol... Read principles.list List all 10 Blueprint principles with stable slugs, titles, and clusters. Use this when you need the full i... Read principles.search Search Blueprint principles by free-text query and return the closest matches ranked by relevance. Use this... Read team.summarize Pro/Teams — summarises the caller's tool-usage patterns and value signals over a configurable window (defau...
How many tools does the AI Design Blueprint MCP server have? +

The AI Design Blueprint MCP server exposes 24 tools across 4 categories: Read, Write, Destructive, Execute.

How do I enforce policies on AI Design Blueprint tools? +

Route the AI Design Blueprint server through the PolicyLayer gateway. Define allow, deny, or approval rules per tool in the dashboard — they are enforced on every call before it reaches the server.

What risk categories do AI Design Blueprint tools fall into? +

AI Design Blueprint tools are categorised as Read (12), Write (6), Destructive (3), Execute (3). Each category has a recommended default policy.

Let agents act without letting them run wild.

Route your MCP servers through PolicyLayer and every tool call is checked against your policy before it runs — allow, deny, or require approval. Per-identity grants. Full audit log. Live in minutes.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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