pulsemcp Safe content atomic mcp-remote

Cloudinary Structured Metadata

Cloudinary Structured Metadata provides tools for defining and managing structured metadata schemas in Cloudinary. The server exposes capabilities for creating metadata fields with various types (string, integer, enum, date, set), managing allowed values for enum and set fields, configuring conditional metadata rules that enforce data dependencies between fields, and querying existing metadata configurations. Useful for organizing large media libraries with consistent, searchable metadata. Available as both a hosted remote endpoint with OAuth or API key authentication and a local npm package.

Cognium trust score

30%

Tier

Unverified

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

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Cloudinary Structured Metadata 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"