Use Shutterstock with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Equip your AI agent to radically sift through Shutterstock's immense media vault. Search high-quality images, videos, audio, and audit editorial licenses direct
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 9 capabilities
The complete Shutterstock capability set.
These are the exact actions your AI can choose when you ask it to work with Shutterstock.
01-03
3 capabilities in this set.
Part of 9 available through Shutterstock.
- 01
Get license history
Retrieve the history of licensed assets
- 02
List collections
List your image collections
- 03
Search editorial
Search for editorial images
04-06
3 capabilities in this set.
Part of 9 available through Shutterstock.
- 04
Search audio
Search for music tracks and audio clips
- 05
Search videos
You can filter by quality, frame rate, and duration. Search for stock video footage
- 06
Get audio details
Get metadata for a specific audio track
07-09
3 capabilities in this set.
Part of 9 available through Shutterstock.
- 07
Get image details
Get metadata for a specific image
- 08
Get video details
Get metadata for a specific video
- 09
Search images
Returns metadata and preview URLs. Search for images in the Shutterstock library
Observed, not estimated
843ms average. Fast in production.
Shutterstock is checked daily against the live service.
- Fastest day
- 680ms
- Slowest day
- 1055ms
- 14-day trend
- Slowing+21%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 9 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Shutterstock, so you can see the experience inside your AI.
It does not authenticate your account with Shutterstock. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Shutterstock Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_4eQElUAPDFXl8pIoKi92kJYDSXq2UfyrNXoCoxv4/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Shutterstock capabilities are ready to use.
{
"mcpServers": {
"shutterstock-mcp": {
"url": "https://edge.vinkius.com/vk_preview_4eQElUAPDFXl8pIoKi92kJYDSXq2UfyrNXoCoxv4/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions Shutterstock owners ask.
- 01
Can the integration forcefully license or automatically purchase an image?
No. By structural design, this module is strictly bound as an observational and search lens tailored purely around querying assets violently efficiently. It explicitly omits write protocols preventing your autonomous agent from accidentally sabotaging valid corporate wallets or unintentionally mass-licensing redundant data.
- 02
Can it search for specific internal user collections or boards?
Yes, utilizing the explicit list_collections operational protocol, the token directly verifies and systematically grabs all active native groupings created rigidly beneath the account bounding that token natively.
- 03
Is the Editorial access separated structurally from the standard image search?
Yes aggressively. Because editorial resources operate identically under completely distinct structural usage and strict rights matrices, we forcibly separate standard asset queries (search_images) strictly away from the rigorous editorial boundaries specifically bound uniquely under search_editorial.
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