EngineeringMarch 13, 2026

Give Claude Brand Context with Our MCP Server

The Model Context Protocol (MCP) lets AI tools query external data sources natively. We built an MCP server so Claude can look up any brand, compare identities, and search by industry — without you writing any API code.

What is MCP?

MCP (Model Context Protocol) is a standard for connecting AI assistants to external data sources and tools. Instead of copying data into prompts manually, your AI can query structured APIs as if they were built-in capabilities.

Bivernado's MCP server exposes our entire brand intelligence API as tools that Claude can call. Ask Claude about Stripe's brand colors, and it queries our API directly.

Setup: Claude Code

One command:

claude mcp add bivernado -- npx -y @bivernado/mcp-server

That's it. Claude Code now has access to all Bivernado tools.

Setup: Claude Desktop

Add this to your claude_desktop_config.json:

{ "mcpServers": { "bivernado": { "command": "npx", "args": ["-y", "@bivernado/mcp-server"] } } }

Available tools

Once connected, Claude gets these tools:

get_brand

Look up any brand by domain. Returns colors, typography, voice, industry, and 30+ fields.

search_brands

Search brands by name, industry, geography, or tier. Filter and paginate results.

compare_brands

Compare two brands side-by-side. See where they converge and diverge on identity.

get_brand_tokens

Get design tokens (colors, typography) in a format ready for code and design tools.

get_industry

Get industry-level analytics — dominant colors, common typography, voice trends.

Example prompts

Once the MCP server is connected, try these with Claude:

"What are Stripe's brand colors and typography?"

"Compare the visual identity of Notion and Linear"

"What are the most common colors in the fintech industry?"

"Generate a Tailwind config using Spotify's brand tokens"

"Write marketing copy that matches Airbnb's brand voice"

Claude will automatically call the relevant Bivernado tools and use the structured data in its response. No API keys, no code, no setup beyond the initial config.

Why this matters

AI workflows need context. The more structured data your AI can access, the better its outputs. Brand intelligence is a natural fit — when you're writing copy, designing interfaces, or analyzing competitors, having instant access to structured brand data makes the AI dramatically more useful.

We think MCP is the future of how AI tools interact with data. Bivernado is one of the first brand data providers to ship a native integration.

Full API Docs Join the Waitlist