Cloudinary
This Cloudinary MCP server, developed by felores, enables seamless integration of Cloudinary's image and video upload functionality into AI-assisted workflows. Built with TypeScript and leveraging the @modelcontextprotocol/sdk, it provides a straightforward interface for uploading media to Cloudinary through Claude Desktop and compatible MCP clients. The implementation supports various upload options including file paths, URLs, and base64 data URIs, along with customizable parameters like resource type, public ID, and tags. It's particularly useful for AI assistants and developers looking to incorporate on-demand media uploads into their applications, allowing for dynamic content creation and management within Cloudinary's ecosystem.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · 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/felores/cloudinary-mcp-server
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
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.