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๐ฅ Official code of the Brandfetch MCP Server - Provides access to all the API products from Brandfetch.
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.
Full documentation: https://docs.brandfetch.com/mcp/overview
| Tool | Description |
|---|---|
brand_search | Search for brands by name using Brandfetch's search index. |
get_brand | Look up full brand data by domain, stock ticker, ISIN, or crypto symbol. |
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 โ voice, audience, positioning, style. |
build_logo_urls | Construct Brandfetch Logo CDN URLs for one or more brands (no API call). |
get_asset_base64 | Fetch a Brandfetch CDN asset (logo, icon, symbol, image) as base64. |
The easiest way to use this server is to connect to the Brandfetch-hosted endpoint โ no install, no infrastructure:
https://mcp.brandfetch.io/mcp
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.
{
"mcpServers": {
"brandfetch": {
"type": "http",
"url": "https://mcp.brandfetch.io/mcp",
"headers": {
"Authorization": "Bearer bf1.YOUR_TOKEN"
}
}
}
}
Add to ~/.cursor/mcp.json (or the project .cursor/mcp.json):
{
"mcpServers": {
"brandfetch": {
"url": "https://mcp.brandfetch.io/mcp",
"headers": {
"Authorization": "Bearer bf1.YOUR_TOKEN"
}
}
}
}
Clients that support OAuth can instead point at https://mcp.brandfetch.io/mcp
with no token and complete the authorization flow in the browser.
This is an HTTP (streamable-http) MCP server built with FastMCP. You can run your own instance with Docker.
docker build -t brandfetch-mcp-server .
docker run --rm -p 8080:8080 brandfetch-mcp-server
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.
uv sync
uv run uvicorn src.main:app --host 0.0.0.0 --port 8080
Requires uv and Python 3.11.
uv sync # install dependencies
uv run pytest # run the tests
uv run ruff check . # lint
uv run ruff format . # format
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