(Blog) Developers 05 articles
Developers
Adding brand context to your own AI product through an API or MCP.
Which APIs provide brand assets and guidelines?
Brand APIs return different things. Lookups describe any company’s public identity, platform APIs read the files a customer already stores, and a maintained brand returns guidance and files for each task. Compare what each returns, who keeps it current, how access works and how pricing differs.
13 min read · 37 sources
How to add brand context to your AI product
Follow a generation job from the customer’s task and authorized brand through guidance, assets, rendering and review. Keep future jobs current with saved brand versions and applied corrections.
10 min read · 5 sources
How do agents retrieve brand context at runtime?
Retrieve task-specific brand guidance and files, pass them to the tools making the work, and record the version used. Implement deliberate reuse and a visible failure path.
9 min read · 12 sources
How to manage your customers’ brands in an AI product
Tie each customer to the right brand on your server, then handle creation, corrections, versions and deletion without exposing another customer's guidance or files.
9 min read · 9 sources
MCP or REST API: which should you use for brand context?
Choose by who makes the call. People working in Claude, ChatGPT or Cursor should use MCP, your backend and pipelines want REST, and an agent you build can use either. Here’s how discovery, sign-in and customer access, long jobs, repeatability and logs differ under the current MCP spec.
12 min read · 10 sources
Rainbrand builds and maintains shared brand context for your agents and products.
