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Search brands and retrieve design assets, company data, other brand context from Brandfetch's API
About
Search brands and retrieve design assets, company data, other brand context from Brandfetch's API
Remote endpoints: streamable-http: https://mcp.brandfetch.io/mcp
Security Report
This is a well-architected MCP server for the Brandfetch API with solid security practices. Authentication is required and properly enforced via bearer tokens with context-aware credential handling. The code demonstrates strong input validation, proper error handling, and appropriate permission scoping. Minor code quality concerns around broad exception handling and logging do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 3 high severity).
3 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Brandfetch MCP Server
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
Tools
| 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 — 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. |
Quick start (hosted server)
The easiest way to use this server is to connect to the Brandfetch-hosted endpoint — 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.
Claude Desktop / Claude Code
{
"mcpServers": {
"brandfetch": {
"type": "http",
"url": "https://mcp.brandfetch.io/mcp",
"headers": {
"Authorization": "Bearer bf1.YOUR_TOKEN"
}
}
}
}
Cursor
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.
Self-hosting
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.
Running without Docker
uv sync
uv run uvicorn src.main:app --host 0.0.0.0 --port 8080
Development
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
License
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