Search brands and retrieve design assets, company data, other brand context from Brandfetch's API
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Brandfetch.
brand_searchSearch for brands by name using Brandfetch's search index.
get_brandLook up full brand data by domain, email, ticker, ISIN, or crypto symbol; renders the interactive brand card on MCP Apps hosts.
get_brand_dataThe same brand data with no card β for logo walls, multi-brand work, and data that feeds generated content.
enrich_transactionIdentify a merchant brand from a credit-card or bank-statement string.
get_brand_contextGet LLM-ready brand context for a domain β voice, audience, positioning, style.
build_logo_urlsConstruct Brandfetch Logo CDN URLs for one or more brands (no API call).
The official Model Context Protocol server for Brandfetch. It gives AI assistants access to brand search, company data, logos and design assets, and LLM-ready brand context from the Brandfetch API.
| Tool | Description |
|---|---|
brand_search | Search for brands by name using Brandfetch's search index. |
get_brand | Look up full brand data by domain, email, ticker, ISIN, or crypto symbol; renders the interactive brand card on MCP Apps hosts. |
get_brand_data | The same brand data with no card β for logo walls, multi-brand work, and data that feeds generated content. |
enrich_transaction | Identify a merchant brand from a credit-card or bank-statement string. |
get_brand_context | Get LLM-ready brand context for a domain β voice, audience, positioning, style. |
build_logo_urls | Construct Brandfetch Logo CDN URLs for one or more brands (no API call). |
send_feedback | Report bugs, wrong or stale brand data, or missing capabilities to Brandfetch. |
On hosts that support the MCP Apps extension
(claude.ai, Claude Desktop, ...), get_brand results render as an interactive
brand card: logo preview, format switcher (SVG/PNG/WebP/...), download and
copy-URL actions. Hosts without Apps support fall back to the regular JSON tool
result. get_brand_data returns the same brand data without the card, so a
logo wall of six brands is six data calls rather than six cards; the model picks
between the two by their descriptions. The widget source lives in
ui/ and is served by the server as the
ui://brandfetch/brand-card.html resource.
The easiest way to use this server is to connect to the Brandfetch-hosted endpoint β no install, no infrastructure:
Authentication uses a Brandfetch MCP token (a bf1. bearer token). Generate one
from the Keys and MCP page in the
Brandfetch dashboard, or connect via OAuth
from a client that supports it.
Add to ~/.cursor/mcp.json (or the project .cursor/mcp.json):
Clients that support OAuth can instead point at https://mcp.brandfetch.io/mcp
with no token and complete the authorization flow in the browser.
get_brand, get_brand_data, enrich_transaction, and get_brand_context consume API credits
from your plan; brand_search and build_logo_urls don't and keep working
when your credits run out.
This is an HTTP (streamable-http) MCP server built with FastMCP. You can run your own instance with Docker.
The server then listens on http://localhost:8080/mcp. Point your MCP client at
that URL and send your Brandfetch credentials as a Bearer token.
The
Dockerfilebundles the AWS Lambda Web Adapter and a fewAWS_LWA_*environment variables. These are inert outside of AWS Lambda and can be ignored (or removed) for a plain container/host deployment.
Requires uv and Python 3.11.
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