Unsplash
FastAPI-based MCP server that exposes the Unsplash API through three core tools: search_photos for keyword-based image discovery with relevance and recency sorting, get_photos for retrieving curated collections with popularity-based ordering, and get_random_photos for generating random images optionally filtered by search terms. Built by gzpaitch using FastAPI-MCP integration with pandas for data processing and comprehensive error handling, the implementation provides detailed photo metadata including photographer information, engagement metrics, download links, and technical specifications across multiple image resolutions. Designed for AI assistants requiring access to high-quality stock photography for content creation, design mockups, or visual inspiration workflows where structured metadata and flexible search capabilities are essential.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- media
- Source
- PulseMCP
- Repository
- github.com/gzpaitch/unsplash-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Unsplash from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.