streamable-httpMITupdated 12d ago
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.
Was kannst du mit Brandfetch machen?
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). |
send_feedback |
Report bugs, wrong or stale brand data, or missing capabilities to Brandfetch. |
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.
Quota errors
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.
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
Installation
Brandfetch zu deinem Client hinzufügen. Wähl den, den du nutzt.
claude mcp add --transport http brandfetch https://mcp.brandfetch.io/mcpcodex mcp add brandfetch --url https://mcp.brandfetch.io/mcp{
"mcpServers": {
"brandfetch": {
"url": "https://mcp.brandfetch.io/mcp"
}
}
}Add to `~/.cursor/mcp.json`, or `.cursor/mcp.json` for a single project.
{
"servers": {
"brandfetch": {
"type": "http",
"url": "https://mcp.brandfetch.io/mcp"
}
}
}Add to `.vscode/mcp.json` in your workspace.
{
"mcpServers": {
"brandfetch": {
"url": "https://mcp.brandfetch.io/mcp"
}
}
}Add to `claude_desktop_config.json`, then restart Claude Desktop.
{
"mcpServers": {
"brandfetch": {
"serverUrl": "https://mcp.brandfetch.io/mcp"
}
}
}Add to `~/.codeium/windsurf/mcp_config.json`.
6 Tools
Brandfetch stellt einem verbundenen Agent 6 Tools bereit.
- 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).
- send_feedback
- Report bugs, wrong or stale brand data, or missing capabilities to Brandfetch.
Score
81 / 100
Ausgezeichnet
- Dokumentation22/25
- Pflege25/25
- Vertrauen16/20
- Funktionsumfang6/15
- Installation12/15
- Documents what it does and how to connect
- Has a resolvable package or endpoint
- Exposes at least one tool, prompt or resource
- README has substantive content
- Includes a code example
- Documents its configuration
- Mentions credentials or security posture
- Last commit 4 days ago
- Has a release history
- Repository is not archived
- Licensed MIT
- Namespace verified in the official MCP registry
- Claimed by its owner
- Published under an organisation
- 6 tool(s) documented
- Provides prompt templates
- Provides resources
- 6 documented install method(s)
- Published to a package registry
- Offers a hosted endpoint — no local install
Versionsverlauf
| Versionen | Veröffentlicht |
|---|---|
| 1.3.0Aktuell | 27. Aug. 2026 |
| 1.2.2 | 20. Aug. 2026 |
| 1.2.1 | 19. Aug. 2026 |
| 1.2.0 | 3. Aug. 2026 |
| 1.1.0 | 31. Juli 2026 |
| 1.0.1 | 3. Juli 2026 |
| 1.0.0 | 18. Juni 2026 |