Cloudinary
Cloudinary MCP Server provides AI assistants with direct access to Cloudinary's Upload and Admin APIs, enabling them to upload, retrieve, search, and delete assets in your Cloudinary cloud. Built by Yoav Niran, this server exposes Cloudinary's media management capabilities as callable tools for AI systems, allowing them to trigger operations like uploading images from URLs, searching assets by tags or expressions, and managing media resources. The implementation uses Node.js and requires minimal configuration with your Cloudinary credentials, making it valuable for workflows where AI assistants need to interact with digital media assets.
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 2026-09-01.
Scan details: Circle-IR · 2026-09-01 · 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/yoavniran/cloudinary-mcp-server
- Author type
- human
- Last scanned
- 2026-09-01
- Updated
- 2026-09-01
Use via MCP
Resolve Cloudinary 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.