Brandfetch MCP Server

@VincentSolconBraze

Basic information

About Brandfetch MCP Server

Model Context Protocol (MCP) server for Brandfetch API

Brandfetch MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "brandfetch-mcp": {
      "command": "uv",
      "args": [
        "init",
        "brandfetch-mcp"
      ]
    }
  }
}

Brandfetch MCP Server tools

Tool list not available yet

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Overview

What is Brandfetch MCP Server?

The Brandfetch MCP Server is a Model Context Protocol (MCP) server that bridges Large Language Model (LLM) applications with the Brandfetch API. It enables AI assistants to search for brands and retrieve comprehensive brand information including logos, colors, fonts, and company details. This server is intended for developers building LLM-powered applications that need brand data.

How to use Brandfetch MCP Server?

Install the server with pip install "mcp[cli]" httpx python-dotenv or via uv. Configure a .env file with BRANDFETCH_API_KEY and BRANDFETCH_CLIENT_ID. Run the server directly with python brandfetch_server.py, install it in Claude Desktop with mcp install brandfetch_server.py, or test with mcp dev brandfetch_server.py. Use the provided tools search_brands and get_brand_info to interact with the Brandfetch API.

Key features of Brandfetch MCP Server

Search for brands by name.
Retrieve detailed brand information (logos, colors, fonts, company details).
Filter fields to optimize response size.
Built-in interactive prompts for proper API usage.
Type-safe Python codebase with async support.
Robust error handling and logging.

Use cases of Brandfetch MCP Server

An AI assistant fetching a brand's logo and color palette for design recommendations.
A chatbot looking up company details by domain or stock symbol.
Integrating brand data into LLM-driven marketing content generation.
Automating brand asset retrieval for internal tools.

Frequently asked questions

What does the Brandfetch MCP Server do?

It provides an MCP interface that allows LLMs to search for brands and retrieve comprehensive brand information from the Brandfetch API.

What are the prerequisites for using the server?

Python 3.9 or higher, and Brandfetch API credentials (API key and Client ID) obtained from the Brandfetch website.

How do I configure API credentials?

Create a `.env` file with `BRANDFETCH_API_KEY` and `BRANDFETCH_CLIENT_ID` variables. These can also be passed as optional parameters to the tools.

What tools does the server provide?

Two tools: `search_brands` (search by name) and `get_brand_info` (get details by domain, brand ID, ISIN, or stock symbol, with optional field filtering).

How can I run the server with Claude Desktop?

Use the command `mcp install brandfetch_server.py` to install it directly in Claude Desktop for seamless integration.

Comments

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