Brandfetch avatar

brandfetch

v1.5.0

by Brandfetch

Search brands and retrieve design assets, company data, and other brand context from Brandfetch's API.

What brandfetch does, in the publisher's words

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:

  • 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.

From the project README, punctuation lightly normalized · Open the README on GitHub

Skills
0
MCP servers
0
Stars
9
License
MIT
Repo created
2026-07-03
Last pushed
2026-09-17
Publisher type
Organization
Version
1.5.0

Links

Category

Integrations & APIs. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

brand · logo · assets · colors · fonts · brandfetch · mcp

Related by publisher and keywords

  • CoDesign gives AI agents like Claude Code, Codex and PI a real design engine for genuine, editable designs, not flat images. Bring in what you have: InDesign, Photoshop, PowerPoint and PDF files stay editable. Exports print PDFs (CMYK, bleed) and videos. Every design opens in a built-in editor for manual fixes. Runs on your machine, no account.

  • World Monitor agent plugin: live global-intelligence MCP servers plus task-focused agent skills for country risk, conflict, markets, chokepoints, energy, climate, and related situational awareness.

  • context7upstash

    Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.

  • chrome-devtoolsChromeDevTools

    Reliable Chrome automation, debugging, and performance analysis for AI agents.

  • hindsightvectorize-io

    Long-term memory for AI agents. Recalls relevant past context before you answer and retains durable facts as you work, backed by Hindsight's retain/recall/reflect memory engine.

  • openvikingvolcengine

    Semantic long-term memory and context engine for coding agents. Recall prior knowledge with the find/search/read MCP tools and persist durable facts with remember/write, backed by an OpenViking server.

Add the verified badge to your README[![Verified by AgentPluginsDirectory.com against Schema 1.0.0](https://agentpluginsdirectory.com/badge.svg)](https://agentpluginsdirectory.com/plugins/brandfetch)

✓ Verified . We fetched the manifest from GitHub and checked it against the official Agent Plugins 1.0.0 schema at agent-plugins.org.