Openart

OpenArt is an all-in-one AI creation platform for generating and editing images, video, audio, and 3D content from a single workspace. It aggregates leading generative models (Seedance, Google Veo, Sora, GPT Image, Kling and others) and adds tools for consistent character creation, world-building, motion and camera control, relighting, background replacement, and cinematic storytelling for creators, brands, and studios. OpenArt exposes its capabilities to AI agents through a hosted remote Model Context Protocol (MCP) server at https://mcp.openart.ai/mcp, authorized with OAuth 2.0 (PKCE + Dynamic Client Registration, scope full_access); it does not publish a conventional REST API. OpenArt was added to the API Evangelist network as a portfolio company of Canaan Partners and DCM Ventures.

Openart is listed with 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Generative AI, Image Generation, and Video Generation.

Openart’s developer surface includes authentication, documentation, support, engineering blog, pricing, signup flow, and 11 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

29.1/100 thin ▬ flat Agent 27/100 agent aware Front door AI 6/6 dominant Heartbeat 98/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessSelf serve

1 API 1 MCP Servers

Company Artificial Intelligence Generative AI Image Generation Video Generation Creative Tools MCP

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 29.1/100 · thin

Contract Quality 0.0 / 21

Developer Ergonomics 6.9 / 17

Access Clarity 7.6 / 17

Operational Transparency 0.3 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 4.8 / 15

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Operational Transparency scores 2.6 — up to +12.7 composite points
Developer Ergonomics scores 40.5 — up to +11.9 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/openart/apis.yml: open an issue on github.com/api-evangelist/openart to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Hugging Face Hub Organisations	builds-on	17.2 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

OpenArt MCP Server

OpenArt's remote Model Context Protocol server, letting AI agents generate and edit images and video, discover models, manage the library and projects, and check account credits...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Openart MCP Server

Remote MCP server at mcp.openart.ai over HTTP.

MCP SERVER

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Openart Authentication

oauth2 · 1 scheme

SECURITY

Openart Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Openart Scopes

1 scope · authorizationCode

1 scopes

SCOPES

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

WellKnown

WellKnown

LLMsTxt

LLMsTxt

Design & Contract 2

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Conventions

Conventions

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

OAuthScopes

OAuthScopes

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Blog

Blog

Website

Website

Source (apis.yml)

aid: openart
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  - scopes
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/openart.png
name: Openart
description: OpenArt is an all-in-one AI creation platform for generating and editing images, video, audio, and 3D content
  from a single workspace. It aggregates leading generative models (Seedance, Google Veo, Sora, GPT Image, Kling and others)
  and adds tools for consistent character creation, world-building, motion and camera control, relighting, background replacement,
  and cinematic storytelling for creators, brands, and studios. OpenArt exposes its capabilities to AI agents through a hosted
  remote Model Context Protocol (MCP) server at https://mcp.openart.ai/mcp, authorized with OAuth 2.0 (PKCE + Dynamic Client
  Registration, scope full_access); it does not publish a conventional REST API. OpenArt was added to the API Evangelist network
  as a portfolio company of Canaan Partners and DCM Ventures.
url: https://raw.githubusercontent.com/api-evangelist/openart/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- canaan-partners
- dcm-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Generative AI
- Image Generation
- Video Generation
- Creative Tools
- MCP
tags_raw:
- Company
- Artificial Intelligence
- Generative AI
- Image Generation
- Video Generation
- Creative Tools
- MCP
- Model Context Protocol
- Image-Generation
apis:
- name: OpenArt MCP Server
  description: OpenArt's remote Model Context Protocol server, letting AI agents generate and edit images and video, discover
    models, manage the library and projects, and check account credits — authorized with the user's OpenArt account over OAuth
    2.0.
  humanURL: https://openart.ai/mcp
  baseURL: https://mcp.openart.ai/mcp
  properties:
  - type: MCPServer
    url: mcp/openart-mcp.yml
  - type: Documentation
    url: https://openart.ai/mcp
  - type: GettingStarted
    url: https://openart.ai/mcp
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: MCPServer
  url: mcp/openart-mcp.yml
- type: Authentication
  url: authentication/openart-authentication.yml
- type: OAuthScopes
  url: scopes/openart-scopes.yml
- type: WellKnown
  url: well-known/openart-well-known.yml
- type: Conformance
  url: conformance/openart-conformance.yml
- type: Conventions
  url: conventions/openart-conventions.yml
- type: LLMsTxt
  url: llms/openart-llms.txt
- type: DomainSecurity
  url: security/openart-domain-security.yml
- type: Documentation
  url: https://openart.ai/mcp
- type: Support
  url: https://openart.ai/general_faq
- type: Blog
  url: https://openart.ai/blog
- type: GitHubOrganization
  url: https://github.com/openart-ai
- type: Pricing
  url: https://openart.ai/suite/pricing
- type: SignUp
  url: https://openart.ai/home
- type: TermsOfService
  url: https://openart.ai/suite/terms
- type: PrivacyPolicy
  url: https://openart.ai/privacy
- type: Website
  url: https://openart.ai/
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 8
  pass: local-v1

Openart API — frequently asked questions

Does Openart have an API?

Yes. APIs.io lists 1 API from Openart, including OpenArt MCP Server.

How do I authenticate with the Openart API?

Openart documents its authentication (oauth2 · 1 scheme). The details are profiled on APIs.io as Openart Authentication.

Does Openart have an MCP server?

Yes. APIs.io lists 1 MCP server for Openart: Remote MCP server at mcp.openart.ai over HTTP.

Is the Openart API ready for AI agents?

Openart has a Kin Score of 29.1 out of 100 (thin) and an Agent Readiness score of 27.3 (agent-aware), scored by API Evangelist on 2026-11-06.

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