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

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.

{
  "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.

get_brand, 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.

• 429 "API quota exhausted" — your key has used all of its API credits. Check usage or upgrade in the Brandfetch dashboard.
• 403 "Forbidden" — the key has no available API credits or lacks access to that endpoint. The key itself may be valid, so check your plan and key status in the dashboard before rotating it.

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 Dockerfile bundles the AWS Lambda Web Adapter and a few AWS_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

MIT