Getting started

DTPR for AI is the documentation surface for the AI-era of the Digital Trust for Places & Routines standard. If you are integrating DTPR from an MCP host, an HTTP client, or a web or server-side rendering surface, this site is for you.

Who this is for

• MCP client authors building agent integrations against https://api.dtpr.io/mcp.
• REST consumers pulling schemas, elements, validating datachains, or fetching composed icons over HTTPS.
• Frontend / SSR developers embedding DTPR content with @dtpr/ui in Vue apps, MCP App iframes, or static HTML.
• Authoring teams using Claude — /plugin install dtpr adds seven Agent Skills that describe AI systems, iterate on the DTPR schema, design element icons, translate locales, and grade content for public comprehension.

For the broader DTPR standard — design principles, physical signage, governance, v0/v1 REST — see docs.dtpr.io. This site does not duplicate that material.

Pick a quickstart

• MCP quickstart — initialize → tools/call list_schema_versions → render_datachain + resources/read.
• REST quickstart — three curls against api.dtpr.io/api/v2.
• UI quickstart — render a datachain in a minimal Vue 3 app with @dtpr/ui/vue.

Where to go next

• MCP server reference — tool and resource reference with envelope semantics.
• REST v2 reference — endpoint reference with headers, pagination, and errors.
• Icon composition — shape × symbol × variant mental model.
• Claude plugin — the authoring studio that drives all of the above from inside Claude.
• Concepts — vocabulary you will see across the reference.