Black Forest Labs▌
by fernforestgames
Black Forest Labs offers an AI image generator using FLUX models and signed URLs to create high-quality images for creat
Integrates with Black Forest Labs API to generate high-quality images using FLUX models with parameter control, automatic polling until completion, and signed URLs for creative workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Creative professionals needing AI-generated imagery
- / Developers building image generation workflows
- / Content creators requiring custom visuals
capabilities
- / Generate images using FLUX models
- / Control image generation parameters
- / Check generation request status
- / Download completed images
- / Poll API until completion automatically
what it does
Generates images using Black Forest Labs FLUX models through API integration. Automatically handles the generation process and provides signed URLs for downloading results.
about
Black Forest Labs is a community-built MCP server published by fernforestgames that provides AI assistants with tools and capabilities via the Model Context Protocol. Black Forest Labs offers an AI image generator using FLUX models and signed URLs to create high-quality images for creat It is categorized under ai ml, design.
how to install
You can install Black Forest Labs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Black Forest Labs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Black Forest Labs MCP Server 
Deprecated in favor of the official MCP server, now available!
A Model Context Protocol (MCP) server that provides AI assistants with tools to generate images using the Black Forest Labs API. This server enables text-to-image generation using FLUX models.
Features
- Tool to generate images using FLUX models
- Resources to check request status and download generated images
Prerequisites
- Node 22+
- Black Forest Labs API key
MCP Configuration
Add this server to your .mcp.json:
{
"mcpServers": {
"bfl": {
"type": "stdio",
"command": "npx",
"args": [
"@fernforestgames/mcp-server-bfl"
],
"env": {
"BFL_API_KEY": "your-api-key-here"
}
}
}
}
Usage
Once configured, you can ask your AI assistant to generate images:
- "Generate an image of a sunset over mountains"
- "Create a high-resolution photo of a cat using FLUX Pro Ultra"
By default, the server automatically polls the BFL API until image generation is complete and returns the image URL (valid for 10 minutes). You can also ask your AI assistant to download the image result directly.
License
Released under the MIT License. See the LICENSE file for details.
FAQ
- What is the Black Forest Labs MCP server?
- Black Forest Labs is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Black Forest Labs?
- This profile displays 52 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★52 reviews- ★★★★★Hiroshi Iyer· Dec 24, 2024
We wired Black Forest Labs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Arya Srinivasan· Dec 20, 2024
We evaluated Black Forest Labs against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Fatima Mensah· Dec 8, 2024
Black Forest Labs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Fatima Kim· Nov 27, 2024
Black Forest Labs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Aarav Zhang· Nov 15, 2024
According to our notes, Black Forest Labs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Arjun Garcia· Nov 11, 2024
Useful MCP listing: Black Forest Labs is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Maya Ramirez· Oct 18, 2024
We wired Black Forest Labs into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Aarav Harris· Oct 6, 2024
Black Forest Labs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Arjun Kapoor· Oct 2, 2024
Black Forest Labs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Layla Shah· Sep 21, 2024
I recommend Black Forest Labs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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