The Unsplash MCP Server enables seamless integration of Unsplash image search and retrieval into applications.
Advanced Image Search: Search Unsplash's photo library with filters for keyword relevance, color schemes (black, white, red, blue), and orientation (landscape, portrait, squarish).
Customizable Results: Control pagination, specify sorting (by relevance or latest), and set the number of results per page (1-30).
Rich Photo Data: Retrieve detailed information including unique IDs, descriptions, image URLs in various sizes, and dimensions.
IDE Integration: Easily integrates with IDEs like Cursor, WindSurf, and Cline.
Cross-Language Support: Available implementations in Golang and Java.
Provides advanced image search capabilities for Unsplash's photo library, allowing filtering by keyword relevance, color schemes, orientation options, with custom sorting and pagination.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Unsplash MCP Server search for landscape photos of mountains with blue color scheme"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
English | ็ฎไฝไธญๆ
A simple MCP server for seamless Unsplash image integration and search capabilities.
Unsplash MCP Server is used for searching rich, high-quality images. It's ideal for developers who want to integrate Unsplash functionality into their own applications.
Related MCP server: Unsplash MCP Server
Advanced Image Search: Search Unsplash's extensive photo library with filters for:
Keyword relevance
Color schemes
Orientation options
Custom sorting and pagination
Before installing this server, you'll need to obtain an Unsplash API Access Key:
Create a developer account at Unsplash
Register a new application
Get your Access Key from the application details page
Use this key in the configuration steps below
For more details, refer to the official Unsplash API documentation.
To install Unsplash Image Integration Server for Claude Desktop automatically via Smithery:
Cursor IDE
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client cursor --key 7558c683-****-****Windsurf
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client windsurf --key 7558c683-****-****Cline
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client cline --key 7558c683-****-****# Clone the repository
git clone https://github.com/hellokaton/unsplash-mcp-server.git
# Navigate to project directory
cd unsplash-mcp-server
# Create virtual environment
uv venv
# Install dependencies
uv pip install .Cursor Editor Integration
Add the following configuration to your Cursor editor's settings.json:
โ ๏ธ Note: Please adjust the following configuration according to your actual installation:
If uv is not in your system PATH, use an absolute path (e.g., /path/to/uv)
./server.py should be modified to the actual location of your server script (can use absolute path or path relative to workspace)
{
"mcpServers": {
"unsplash": {
"command": "uv",
"args": ["run", "--with", "fastmcp", "fastmcp", "run", "./server.py"],
"env": {
"UNSPLASH_ACCESS_KEY": "${YOUR_ACCESS_KEY}"
}
}
}
}{
"tool": "search_photos",
"query": "mountain",
"per_page": 5,
"orientation": "landscape"
}Golang: unsplash-mcp-server
Java: unsplash-mcp-server
Search for Unsplash photos
Args:
query: Search keyword
page: Page number (1-based)
per_page: Results per page (1-30)
order_by: Sort method (relevant or latest)
color: Color filter (black_and_white, black, white, yellow, orange, red, purple, magenta, green, teal, blue)
orientation: Orientation filter (landscape, portrait, squarish)
Returns:
List[UnsplashPhoto]: List of search results containing photo objects with the following properties:
- id: Unique identifier for the photo
- description: Optional text description of the photo
- urls: Dictionary of available image URLs in different sizes
- width: Original image width in pixels
- height: Original image height in pixels
| Name | Required | Description | Default |
|---|---|---|---|
| query | Yes | ||
| page | No | ||
| per_page | No | ||
| order_by | No | relevant | |
| color | No | ||
| orientation | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It mentions the tool searches photos but doesn't cover critical aspects like rate limits, authentication requirements, pagination behavior beyond parameters, or error conditions. The return format is described, but operational context is missing.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and efficiently organized with clear sections for Args and Returns. Every sentence adds essential information without redundancy, making it easy to parse while maintaining completeness for the tool's functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (6 parameters, 1 required) and lack of annotations/output schema, the description does well by detailing parameters and return format. However, it misses some behavioral context like rate limits or authentication needs, preventing a perfect score.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds significant value beyond the input schema, which has 0% schema description coverage. It clearly explains each parameter's purpose, constraints (e.g., '1-30' for per_page), and valid values for enums like order_by, color, and orientation. This fully compensates for the schema's lack of descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Search for Unsplash photos'. It specifies the verb ('Search') and resource ('Unsplash photos'), making the function immediately understandable. However, without sibling tools to differentiate from, it cannot achieve the highest score of 5 which requires distinguishing from alternatives.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or constraints. It simply lists parameters and returns without context about appropriate use cases, making it minimally helpful for decision-making.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
search_photosWith only one tool, there is no possibility of confusion or overlap between tools. The single tool 'search_photos' has a clearly defined and distinct purpose.
The single tool follows a clear verb_noun pattern ('search_photos'), and with only one tool, there is perfect consistency by definition.
A single tool for an Unsplash server feels thin and incomplete for the domain. While search is a core function, typical photo services would include additional operations like getting photo details, downloading, or user-related actions.
The tool surface is severely incomplete for an Unsplash server. There are significant gaps: no ability to get photo details by ID, download photos, access user profiles, collections, or statistics. The server only supports search, which limits agent workflows.
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