joelio/stocky

Overview

An MCP server that enables AI assistants to search and download stock photography directly. It provides a standardized interface for querying stock photo libraries and retrieving image files through the Model Context Protocol.

Best for

Best for
Developers building AI assistants that need to source stock photography programmatically

Use cases

• Integrating stock photo search into AI-powered workflows
• Automating image sourcing for content generation
• Enabling AI assistants to locate and fetch stock images

How to use

Install

pip install -r requirements.txt

Tools exposed

• search_stock_images
• get_image_details
• download_image

Example client config

{\n  "mcpServers": {\n    "stocky": {\n      "command": "python",\n      "args": ["/path/to/stocky_mcp.py"],\n      "env": {\n        "PEXELS_API_KEY": "your_pexels_key",\n        "UNSPLASH_ACCESS_KEY": "your_unsplash_key"\n      }\n    }\n  }\n}

Notes

An MCP server that enables AI assistants to search and download stock photography directly. It provides a standardized interface for querying stock photo libraries and retrieving image files through the Model Context Protocol.

20 stars on GitHub. Last updated 2025-11-24. Licensed MIT.

Use cases

• Integrating stock photo search into AI-powered workflows
• Automating image sourcing for content generation
• Enabling AI assistants to locate and fetch stock images

Pros

• Provides a standardized MCP interface for stock photo search
• Written in Python, easy to extend or customize
• Enables AI agents to directly fetch images without manual browsing

Cons

• Limited to searching and downloading; no image editing or metadata manipulation
• Requires external API keys for stock photo providers
• Small community (20 stars) may limit support and updates

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.