Seedance 2.0 & Model Context Protocol (MCP)

MCP describes how an assistant can call tools (search, filesystem actions, billing consoles, custom APIs) through a structured contract instead of ad-hoc plugins. For Seedance-class work, that usually means orchestration: fetching references, preparing shot lists, submitting jobs where your account already has access, and logging outputs. It does not magically grant studio-grade quotas or bypass moderation—those remain properties of whichever host or reseller actually provisions the model.

Official pages communicate what the model is meant to do and where first-party products live. MCP servers, marketplace listings, and community bridges sit one or more steps away: they may automate your stack, but they are not an endorsement from the model owner unless the owner explicitly says so. Treat connectors like any other vendor integration: verify authentication, data residency, logging, and what happens when the upstream queue or policy changes.

Stability: Does the connector track upstream API drift quickly? Terms: Are prompts, uploads, and outputs allowed to flow through the operator’s infrastructure under your company policy? Replaceability: Could you swap hosts without rewriting every prompt chain? Cost: Connector fees, inference bills, and failure retries stack; model list price is only one line item. If a README promises “one-click infinite video,” pause until you have queue and credit numbers from the surface you really bill.

Start by documenting the minimum viable path: which account authenticates, where assets live, and what a successful job record looks like (IDs, parameters, thumbnails, URLs). Then add MCP only where it removes repetitive UI work—batch metadata prep, regression testing harnesses, internal review boards—not as the first place you learn moderation rules. Re-read host documentation the week you ship; video models are unusually sensitive to policy and capacity changes.