Teach every AI tool your brand, once.
Aravi AI serves your brand over MCP, the open standard Anthropic, OpenAI, and Microsoft have all adopted, and over a plain REST API for everything else. Connect once, and Claude, ChatGPT, Cursor, Claude Code, and VS Code all read the same profile before they make anything.
Every major AI tool, one brand profile
Pick your tool. Setup is one entry in a config file — no custom plugins, no pasted style guides.
Anthropic's assistant — copy, reviews, and campaign planning with full brand context.
Learn moreOpenAI's assistant — brand-aware drafts, replies, and content at scale.
Learn moreThe AI code editor — on-brand components, pages, and layouts from the first line.
Learn moreAnthropic's coding agent — features and pages that ship on-brand from the first commit.
Learn moreCopilot and any MCP-compatible extension — brand context right in your editor.
Learn moreThree steps to brand-aware AI
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1
Ingest your brand
Upload your guidelines, your site, or a deck. Ingest structures it into one profile — voice, palette, type, and imagery rules.
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2
Connect over MCP or REST
Add Aravi AI as an MCP server in any compatible tool, one line of config, or call the REST API from your own agent framework. See Query.
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3
Every output checked before it ships
Each generation is scored 0–100 against your brand profile before anyone sees it, with Validate — on-brand by default, not by review.
The open standard, not another plugin
Model Context Protocol is the standard Anthropic, OpenAI, and Microsoft have all adopted for connecting AI tools to outside data. Instead of pasting your brand guidelines into every prompt, MCP lets the tool query your brand profile on its own, before it generates a word or a pixel.
Aravi AI speaks MCP natively, so any compatible tool reads your brand without a custom integration. For tools that don't support MCP yet, the same profile is available over REST — see MCP + API for the endpoints.
Further reading: How to give AI agents your brand guidelines with MCP.
MCP + every AI tool, answered
What is MCP (Model Context Protocol)?
An open standard for connecting AI tools to external data sources, adopted by Anthropic, OpenAI, and Microsoft. It lets a tool query your brand profile directly, instead of you pasting a style guide into every prompt.
Do I need a different integration for every AI tool?
No. Aravi AI implements MCP natively, so any MCP-compatible tool — Claude, ChatGPT, Cursor, Claude Code, VS Code — reads the same brand profile through one connection.
What if my tool doesn't support MCP yet?
The same brand profile is available over a plain REST API, so any script or agent framework can query it directly.
Make every AI tool fluent in your brand
Join the first group of brands giving every agent they use a source of truth to read before it makes anything.
Join the waitlist