Martini

Martini is a collaborative, AI-native filmmaking platform — "Figma for filmmaking" — that lets teams generate, direct, and edit AI video in real time and export to professional editing software (Adobe Premiere Pro, DaVinci Resolve) via XML. Filmmakers compose shots with virtual camera control, keep characters consistent across shots using reusable Subjects, and generate footage across leading models (Google Veo 3.1, Kling 3.0 Pro, OpenAI Sora 2, MiniMax Hailuo 02, ByteDance Seedance, Nano Banana Pro, Flux 2). Its developer surface is a hosted, OAuth-secured Model Context Protocol (MCP) connector at https://www.martini.film/mcp that lets AI assistants (Claude Desktop/Code, Gemini CLI, ChatGPT, Cursor) browse projects, organize canvases and subjects, upload references, and run approved generation inside a user's own account. Martini also publishes open Agent Skills on GitHub, including a Blender-to-Martini camera-faithful handoff. Built by C47 Inc.; Y Combinator Winter 2026.

Martini publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Video, Filmmaking, and Generative AI.

Martini’s developer surface includes documentation, API reference, pricing, signup flow, support, authentication, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

29.4/100 emerging ▬ flat Agent 26/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

1 APIs 1 MCP Servers

CompanyArtificial IntelligenceVideoFilmmakingGenerative AICreative ToolsModel Context ProtocolAgentsCollaborationMedia Production

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 29.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 9.1 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 9.3 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/martini: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

Martini MCP Connector

Hosted, OAuth-secured Model Context Protocol server that lets supported AI assistants work inside Martini projects using the signed-in user's account permissions — browse projec...

MCP Servers 1

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

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 4

Authentication, authorization, and security posture

Authentication

Authentication

Security

Security

VulnerabilityDisclosure

VulnerabilityDisclosure

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

Other 1

Properties that don't map to a standard resource type

Download

Download

Source (apis.yml)

aid: martini
name: Martini
description: Martini is a collaborative, AI-native filmmaking platform — "Figma for filmmaking" — that lets teams generate,
  direct, and edit AI video in real time and export to professional editing software (Adobe Premiere Pro, DaVinci Resolve)
  via XML. Filmmakers compose shots with virtual camera control, keep characters consistent across shots using reusable Subjects,
  and generate footage across leading models (Google Veo 3.1, Kling 3.0 Pro, OpenAI Sora 2, MiniMax Hailuo 02, ByteDance Seedance,
  Nano Banana Pro, Flux 2). Its developer surface is a hosted, OAuth-secured Model Context Protocol (MCP) connector at https://www.martini.film/mcp
  that lets AI assistants (Claude Desktop/Code, Gemini CLI, ChatGPT, Cursor) browse projects, organize canvases and subjects,
  upload references, and run approved generation inside a user's own account. Martini also publishes open Agent Skills on
  GitHub, including a Blender-to-Martini camera-faithful handoff. Built by C47 Inc.; Y Combinator Winter 2026.
url: https://raw.githubusercontent.com/api-evangelist/martini/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://www.martini.film/marketing/uisample-3.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-yc-batch: Winter 2026
x-company: C47 Inc.
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Video
- Filmmaking
- Generative AI
- Creative Tools
- Model Context Protocol
- Agents
- Collaboration
- Media Production
apis:
- name: Martini MCP Connector
  description: Hosted, OAuth-secured Model Context Protocol server that lets supported AI assistants work inside Martini projects
    using the signed-in user's account permissions — browse projects, canvases, subjects and assets, organize the canvas,
    upload image references, and run approved (user-confirmed) media generation. Streamable HTTP transport.
  humanURL: https://www.martini.film/docs/mcp
  baseURL: https://www.martini.film/mcp
  tags:
  - Model Context Protocol
  - Agents
  - AI Video
  properties:
  - type: MCPServer
    url: mcp/martini-mcp.yml
  - type: Documentation
    url: https://www.martini.film/docs/mcp
  - type: Authentication
    url: authentication/martini-authentication.yml
common:
- type: Documentation
  url: https://www.martini.film/docs/mcp
- type: APIReference
  url: https://www.martini.film/docs/mcp
- type: Pricing
  url: https://www.martini.film/pricing
- type: SignUp
  url: https://www.martini.film/waitlist
- type: Login
  url: https://www.martini.film/login
- type: Support
  url: https://www.martini.film/support
- type: TermsOfService
  url: https://www.martini.film/terms
- type: PrivacyPolicy
  url: https://www.martini.film/privacy
- type: GitHubOrganization
  url: https://github.com/martini-film
- type: Download
  url: https://www.martini.film/download
- type: MCPServer
  url: mcp/martini-mcp.yml
- type: LLMsTxt
  url: llms/martini-llms.txt
- type: AgentSkill
  url: skills/_index.yml
- type: Authentication
  url: authentication/martini-authentication.yml
- type: Conformance
  url: conformance/martini-conformance.yml
- type: Security
  url: https://www.martini.film/security
- type: VulnerabilityDisclosure
  url: security/martini-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/martini-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 11
  pass: local-v1