DTPR for AI

DTPR for AI is the AI-focused surface of the Digital Trust for Places & Routines standard. It bundles five integration surfaces so an AI agent, a web client, a server-side renderer, or an authoring team using Agent Skills can describe data-collecting technologies in public spaces with a shared vocabulary.

MCP server

9 tools and 1 resource over Streamable HTTP at https://api.dtpr.io/mcp — list, fetch, validate, render, resolve icons.

REST API (v2)

Public, read-only JSON + SVG API at https://api.dtpr.io/api/v2. Schemas, categories, elements, validation, icons.

Icon composition

Shape × symbol × variant pipeline. Compose 36×36 SVG icons pinned to a schema release.

@dtpr/ui

Framework-neutral helpers, Vue components, and SSR HTML renderer. Ships with MCP Apps support.

Claude plugin

Seven-skill authoring studio packaged for Claude Code, Cowork, and Claude.ai. Describe AI systems, iterate on the DTPR schema, design icons, translate locales, grade content for public comprehension.

Quickstarts

MCP in five minutes — initialize → tools/call → resources/read.
REST in three calls — list schemas, fetch elements, validate a datachain.
UI in a Vue app — render a datachain with <DtprDatachain>.
Install the Claude plugin — authoring studio for Claude Code, Cowork, and Claude.ai.

Background

What is DTPR for AI? — Who this documentation is for.
Concepts — Datachains, elements, categories, versions, content hashes.
Changelog — What landed when.

For the full DTPR standard — design principles, signage, governance, v1 REST — see docs.dtpr.io.