About Unsplash Mcp
Unsplash Mcp is an MCP server for searching Unsplash photos, aimed at LLMs that build content pages with credited images. It returns ready-to-use attribution text and HTML for each photo.
Key features
- 01Keyword photo search with color and orientation filters
- 02Random photo retrieval for varied content
- 03Plain text and HTML attribution for each photo
- 04Download tracking to follow Unsplash API guidelines
Use cases
- 01LLM-generated content pages with credited images
- 02Finding illustrations for articles or blog posts
- 03Recording downloads when offering images for download
MCP support
This project is an MCP server that exposes search_photos, get_random_photos and track_download tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEUnsplash MCP Server
An MCP (Model Context Protocol) server for fetching photos from Unsplash with proper attribution. Designed for LLMs building content pages that need properly credited images.
Features
- Search Photos - Find photos by keyword with filters (color, orientation)
- Random Photos - Get random photos for variety in content
- Download Tracking - Compliant with Unsplash API guidelines
- Full Attribution - Every photo includes ready-to-use attribution text and HTML
- LLM-Optimized - Pre-formatted attribution strings for easy embedding
Why This Server?
Unsplash requires proper attribution when using their photos. This server makes it easy by including:
attribution_text: Plain text like "Photo by John Doe on Unsplash"attribution_html: Full HTML with proper links for web pages
Photo by <a href="https://unsplash.com/@johndoe">John Doe</a> on <a href="https://unsplash.com">Unsplash</a>
Installation
Prerequisites
- Python 3.11+
- An Unsplash API access key (Get one here)
Quick Start
# Clone the repository
git clone https://github.com/cevatkerim/unsplash-mcp.git
cd unsplash-mcp
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install fastmcp httpx python-dotenv
# Set your API key
echo "UNSPLASH_ACCESS_KEY=your_key_here" > .env
# Run the server
fastmcp run server.py
Configuration
Claude Code
Add to your ~/.claude.json (user-level) or project .mcp.json:
{
"mcpServers": {
"unsplash": {
"type": "stdio",
"command": "/path/to/unsplash-mcp/.venv/bin/fastmcp",
"args": ["run", "/path/to/unsplash-mcp/server.py"],
"env": {
"UNSPLASH_ACCESS_KEY": "your_access_key_here"
}
}
}
}
Cursor
Add to your Cursor MCP settings:
{
"mcpServers": {
"unsplash": {
"command": "/path/to/unsplash-mcp/.venv/bin/fastmcp",
"args": ["run", "/path/to/unsplash-mcp/server.py"],
"env": {
"UNSPLASH_ACCESS_KEY": "your_access_key_here"
}
}
}
}
Windsurf / Cline
Add to your MCP configuration:
{
"unsplash": {
"command": "/path/to/unsplash-mcp/.venv/bin/fastmcp",
"args": ["run", "/path/to/unsplash-mcp/server.py"],
"env": {
"UNSPLASH_ACCESS_KEY": "your_access_key_here"
}
}
}
Tools
search_photos
Search for photos by keyword with optional filters.
Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | required | Search keyword(s) |
page | int | 1 | Page number |
per_page | int | 10 | Results per page (1-30) |
order_by | string | "relevant" | Sort: "relevant" or "latest" |
color | string | null | Color filter (see below) |
orientation | string | null | "landscape", "portrait", "squarish" |
content_filter | string | "low" | Safety: "low" or "high" |
Color options: black_and_white, black, white, yellow, orange, red, purple, magenta, green, teal, blue
Example:
search_photos("mountain sunset", per_page=5, orientation="landscape")
get_random_photos
Get random photos, optionally filtered by keyword.
Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | null | Optional keyword filter |
count | int | 1 | Number of photos (1-30) |
orientation | string | null | "landscape", "portrait", "squarish" |
content_filter | string | "low" | Safety: "low" or "high" |
Example:
get_random_photos(query="nature", count=3, orientation="landscape")
track_download
Track a photo download (required by Unsplash API guidelines).
Parameters:
| Parameter | Type | Description |
|---|---|---|
photo_id | string | Photo ID from search results |
Example:
track_download("abc123xyz")
Response Format
Each photo includes:
{
"id": "abc123",
"description": "A beautiful mountain landscape",
"alt_description": "snow-capped mountains under blue sky",
"urls": {
"raw": "https://images.unsplash.com/...",
"full": "https://images.unsplash.com/...",
"regular": "https://images.unsplash.com/...", # Recommended for web
"small": "https://images.unsplash.com/...",
"thumb": "https://images.unsplash.com/..."
},
"width": 4000,
"height": 3000,
"color": "#a3c4f3", # Dominant color for placeholders
"blur_hash": "LKO2?U%2Tw=w...", # For progressive loading
# Attribution (REQUIRED when using the image)
"photographer_name": "John Doe",
"photographer_username": "johndoe",
"photographer_url": "https://unsplash.com/@johndoe?utm_source=...",
"photo_url": "https://unsplash.com/photos/abc123?utm_source=...",
# Ready-to-use attribution
"attribution_text": "Photo by John Doe on Unsplash",
"attribution_html": "Photo by <a href=\"...\">John Doe</a> on <a href=\"...\">Unsplash</a>"
}
Usage Example
When an LLM builds a content page:
-
Search for relevant images:
photos = search_photos("coffee shop interior", per_page=5) -
Select a photo and use it:
<img src="{photo.urls.regular}" alt="{photo.alt_description}"> <p class="attribution">{photo.attribution_html}</p> -
If offering download, track it:
download_url = track_download(photo.id)
Unsplash API Guidelines
This server helps you comply with Unsplash API guidelines:
- Attribution - Always credit the photographer and Unsplash (use
attribution_html) - Hotlinking - Use the provided URLs directly (enables view tracking)
- Download tracking - Call
track_download()when users download images
Rate Limits
- Demo mode: 50 requests/hour
- Production: 5,000 requests/hour (after approval)
License
MIT License - See LICENSE file.
Contributing
Contributions welcome! Please feel free to submit a Pull Request.
Support
If you find this project useful, consider buying me a coffee!
Acknowledgments
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
