# Orthanc

**Canonical:** https://apis.io/providers/orthanc/  
**Website:** https://www.orthanc-server.com  
**APIs profiled:** 1

Orthanc is an open-source, lightweight DICOM server for medical imaging. It provides a RESTful API to store, retrieve, and manage DICOM studies, series, and instances. Orthanc is widely used in hospitals, research labs, and imaging workflows to simplify integration with PACS, viewers, and analysis tools. The platform offers a web interface, extensive documentation, and a vibrant community supporting extensions and plugins.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.2 from 13.4).

| Facet | Score |
|---|---|
| Discoverability | 53.6 |
| Contract Quality | 0.0 |
| Contract Governance | 18.2 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 9.5 |
| Access Clarity | 5.3 |

Regulatory layer — **Health**: 10.2 (matched via tags).

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Orthanc API** — Orthanc provides a RESTful DICOM API for storing, retrieving and managing medical imaging data.

## Security (1)

- **Orthanc Domain Security** — TLSv1.3

## Tags

Company, DICOM, Medical Imaging, Open Source, REST API

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/orthanc/). Scores are computed from the provider's own public artifacts under a published rubric.