Build your own production line with Yamdu's API and MCP integrations

Stop digging and start asking. Everything the Yamdu API exposes is also available through the Yamdu MCP Server. You simply connect your preferred AI assistant (Claude, ChatGPT, Copilot, your own agents) and communicate directly with Yamdu’s data in plain language and get detailed and accurate results in seconds.

Now you can ask questions like What scenes does the actor George Hunt have next week?” and get detailed, cross-referential answers through your AI assistant. No searching, emails, phone calls, exports required. Access company and project resources through ordered, up to date endpoints.

AI models perform better on normalized, timestamped, role-tagged data than on scans of paper reports, Yamdu gives you real-time, cloud-based inputs for scheduling predictions, resource optimization, and payroll reconciliation - with tools extending to match new production needs and emerging AI use cases.

Here’s the information you can work with:

• Company data: projects, locations, actors, crew, vendors, and further company metadata

• Shooting schedules: schedule overviews, detailed schedule endpoints, and exports for downstream systems

• Call sheets: export, read, and sync call sheet resources and timings

• Production calendars: calendar scenarios for prep, shoot, and post, production steps, milestones, and linked resources

• Crew and cast: structured profiles, positions, departments, agencies, contact points, contracts, staff forms, and payroll-related metadata

• Locations: addresses, maps, photos, availability, ownership, and permissions

• Payroll and time card data: everything from Yamdu's Smart Time Cards in real time, plus onboarding forms, staff forms, and payroll-relevant fields for downstream payroll providers

• Script and script breakdowns: every script version, full details, and all tagged elements across all scenes and episodes

• Scenes, shots, and content items: all details and attributes, including shot list data following MovieLabs' Creative Vocabulary for camera angle, movement, lens, shot size, and more

• Budgeting: line items, totals, categories, and account codes across all your budgets

One shared language for production data: Yamdu implements MovieLabs' Ontology for Media Creation where applicable, providing consistent object models across scheduling, cast (narrative characters vs. real-world actors), crew, locations, and calendar data. In addition, Yamdu’s shot lists are in full alignment with MovieLabs' Creative Vocabulary, which means you can plan your shots in a way AI actually understands.

This alignment reduces mapping overhead for partners and accelerates integration with editorial, VFX, on-set data capture, and post-production systems.

Why it matters for your organization

• Faster onboarding for integrations with major studios and ecosystem partners of the MovieLabs Industry Forum

• Less data transformation work and fewer integration errors

• AI-ready by default, Yamdu enables you to build AI features on consistent, semantically rich inputs instead of custom mappings

Many productions still rely on established desktop-era tools like Movie Magic. Such file-based, siloed applications weren't designed for the Post-PC era of connected, AI-driven workflows. Yamdu takes a different approach: cloud-native, AI-native, API-first, and built on open industry standards like OMC. Your data isn't locked in a file on someone's laptop. Your data is a living, structured resource your entire ecosystem can be built on.

Yamdu partners with technology providers on four continents to advance real interoperability that connects the tools you love. Follow Crew United, ARRI Rental, KlimAktiv and the Media Carbon Calculator and future-proof your data workflow today.