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Unsplash MCP Server

Community
hellokaton

๐Ÿ”Ž A MCP server for Unsplash image search.

Publisherhellokaton
Repositoryunsplash-mcp-server
LanguagePython
Forks
22
Stars
219
Available tools
0
Transport typestdio
Categories
LicenseMIT
Links
  • Connect tools to AI workflows

    Unsplash MCP Server exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    219 stars and 22 forks from the linked repository.

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Unsplash MCP Server

English | ็ฎ€ไฝ“ไธญๆ–‡

A simple MCP server for seamless Unsplash image integration and search capabilities.

Python 3.9+ License: MIT

Trust Score smithery badge

๐Ÿ“‹ Overview

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.

โœจ Features

  • Advanced Image Search: Search Unsplash's extensive photo library with filters for:
    • Keyword relevance
    • Color schemes
    • Orientation options
    • Custom sorting and pagination

๐Ÿ”‘ Obtaining Unsplash Access Key

Before installing this server, you'll need to obtain an Unsplash API Access Key:

  1. Create a developer account at Unsplash
  2. Register a new application
  3. Get your Access Key from the application details page
  4. Use this key in the configuration steps below

For more details, refer to the official Unsplash API documentation.

๐Ÿš€ Installation

To install Unsplash Image Integration Server for Claude Desktop automatically via Smithery:

IDE Setup

Cursor IDE

bash
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client cursor --key 7558c683-****-****

Windsurf

bash
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client windsurf --key 7558c683-****-****

Cline

bash
npx -y @smithery/cli@latest install @hellokaton/unsplash-mcp-server --client cline --key 7558c683-****-****

Manual Installation

bash
# 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:

โš ๏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)
json
{
  "mcpServers": {
    "unsplash": {
      "command": "uv",
      "args": ["run", "--with", "fastmcp", "fastmcp", "run", "./server.py"],
      "env": {
        "UNSPLASH_ACCESS_KEY": "${YOUR_ACCESS_KEY}"
      }
    }
  }
}

Using in Cursor

๐Ÿ› ๏ธ Available Tools

Search Photos

json
{
  "tool": "search_photos",
  "query": "mountain",
  "per_page": 5,
  "orientation": "landscape"
}

๐Ÿ”„ Other Implementations

๐Ÿ“„ License

MIT License

๐Ÿ“ฌ Contact

Installation

TypingMind
Prerequisites:

Node.js 18+

{
  "mcpServers": {
    "hellokaton-unsplash-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "unsplash-mcp-server"
      ]
    }
  }
}

Use Unsplash MCP Server MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Unsplash MCP Server is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Unsplash MCP Server as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Unsplash MCP Server MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "hellokaton-unsplash-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "unsplash-mcp-server"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Unsplash MCP Server MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Unsplash MCP Server MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Unsplash MCP Server to help me with this task?
Unsplash MCP Server
Sure. I read it.
Here is what I found using Unsplash MCP Server.

Frequently asked questions

What is the Unsplash MCP Server MCP server used for?

Unsplash MCP Server is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Unsplash MCP Server MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Unsplash MCP Server with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Unsplash MCP Server MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Unsplash MCP Server connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Unsplash MCP Server MCP to TypingMind?

Unsplash MCP Server runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Unsplash MCP Server MCP provide in TypingMind?

Unsplash MCP Server exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Unsplash MCP Server MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Unsplash MCP Server requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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