Permet à un client IA de créer et de gérer les champs de métadonnées structurées, les sources de données et les règles Cloudinary.
Aussi connu sous cloudinary/structured-metadata-mcp, structured-metadata-mcp, @cloudinary/structured-metadata-mcp
- Étoiles
- 0
- Outils
- —
- Téléchargements, 30 jours
- 924
- Dernière version
- 0.6.2
- Dernier commit
- 14 nov. 2026
- Licence
- MIT
Qu'est-ce que Cloudinary Structured Metadata MCP ?
Cloudinary Structured Metadata est un serveur MCP. Permet à un client IA de créer et de gérer les champs de métadonnées structurées, les sources de données et les règles Cloudinary.
Résumé généré à partir du README du projet
À propos du MCP server Cloudinary Structured Metadata
Ce MCP server permet aux développeurs et aux gestionnaires de médias de gérer l'organisation des assets Cloudinary via le langage naturel. Il fournit une interface permettant aux clients IA d'interagir directement avec l'API Structured Metadata de Cloudinary, autorisant la création et l'administration programmatiques de champs de métadonnées, de sources de données et de règles d'automatisation.
Les utilisateurs peuvent intégrer ce serveur dans des environnements tels que Claude Desktop, Cursor, VS Code, ou via des outils CLI comme Claude Code et Gemini. La configuration nécessite un environnement Node.js et une authentification via une clé API, un API secret et un cloud name Cloudinary, pouvant être fournis par des variables d'environnement individuelles ou via une unique CLOUDINARY_URL.
Ce serveur se distingue en proposant un mode dynamique pour éviter l'encombrement de la fenêtre de contexte. En utilisant le flag --mode dynamic, le serveur expose des meta-tools comme list_tools et execute_tool, permettant à l'IA de découvrir des capacités spécifiques à la demande plutôt que de charger tous les outils disponibles simultanément. Cela le rend efficace pour les workflows complexes impliquant le réordonnancement de champs, la mise à jour de sources de données et la gestion de règles.
Ce que vous pouvez faire avec
- 1Automatiser la création de champs de métadonnéesDemandez à votre client IA de générer de nouveaux champs de métadonnées avec des types et des valeurs spécifiques.
- 2Gérer les sources de données des champsDonnez l'instruction à un agent d'ajouter ou de supprimer des valeurs spécifiques de la source de données d'un champ existant.
- 3Configurer des règles d'automatisation d'assetsConfigurez des règles qui appliquent automatiquement des tags de métadonnées aux assets situés dans des dossiers spécifiques.
- 4Organiser l'ordre des champs de métadonnéesDemandez à l'IA de réordonner la position de plusieurs champs de métadonnées en une seule fois.
Extrait du README du projet. Chaque cas d'utilisation est vérifié par rapport à une citation du document.
Comment installer Cloudinary Structured Metadata MCP
Formats vérifiés le 10 nov. 2026Ajouter à CursorAjouter à GooseInstaller Cloudinary Structured Metadata MCP dans Claude Code
$ claude mcp add --env 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' --env 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' --env 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' structured-metadata-mcp -- npx -y @cloudinary/structured-metadata-mcpInstaller Cloudinary Structured Metadata MCP dans Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"structured-metadata-mcp": {
"command": "npx",
"args": [
"-y",
"@cloudinary/structured-metadata-mcp"
],
"env": {
"CLOUDINARY_API_SECRET": "<YOUR_CLOUDINARY_API_SECRET>",
"CLOUDINARY_API_KEY": "<CLOUDINARY_API_KEY>",
"CLOUDINARY_CLOUD_NAME": "<CLOUDINARY_CLOUD_NAME>"
}
}
}
}Installer Cloudinary Structured Metadata MCP dans VS Code
.vscode/mcp.json
{
"servers": {
"structured-metadata-mcp": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cloudinary/structured-metadata-mcp"
],
"env": {
"CLOUDINARY_API_SECRET": "<YOUR_CLOUDINARY_API_SECRET>",
"CLOUDINARY_API_KEY": "<CLOUDINARY_API_KEY>",
"CLOUDINARY_CLOUD_NAME": "<CLOUDINARY_CLOUD_NAME>"
}
}
}
}Installer Cloudinary Structured Metadata MCP dans VS Code CLI
$ code --add-mcp '{"name":"structured-metadata-mcp","type":"stdio","command":"npx","args":["-y","@cloudinary/structured-metadata-mcp"],"env":{"CLOUDINARY_API_SECRET":"<YOUR_CLOUDINARY_API_SECRET>","CLOUDINARY_API_KEY":"<CLOUDINARY_API_KEY>","CLOUDINARY_CLOUD_NAME":"<CLOUDINARY_CLOUD_NAME>"}}'Installer Cloudinary Structured Metadata MCP dans Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"structured-metadata-mcp": {
"command": "npx",
"args": [
"-y",
"@cloudinary/structured-metadata-mcp"
],
"env": {
"CLOUDINARY_API_SECRET": "<YOUR_CLOUDINARY_API_SECRET>",
"CLOUDINARY_API_KEY": "<CLOUDINARY_API_KEY>",
"CLOUDINARY_CLOUD_NAME": "<CLOUDINARY_CLOUD_NAME>"
}
}
}
}Installer Cloudinary Structured Metadata MCP dans Codex
$ codex mcp add structured-metadata-mcp --env 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' --env 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' --env 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' --env 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' --env 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' --env 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' -- npx -y @cloudinary/structured-metadata-mcpInstaller Cloudinary Structured Metadata MCP dans Codex config.toml
~/.codex/config.toml
[mcp_servers.structured-metadata-mcp] command = "npx" args = ["-y", "@cloudinary/structured-metadata-mcp"] [mcp_servers.structured-metadata-mcp.env] CLOUDINARY_API_SECRET = "<YOUR_CLOUDINARY_API_SECRET>" CLOUDINARY_API_KEY = "<CLOUDINARY_API_KEY>" CLOUDINARY_CLOUD_NAME = "<CLOUDINARY_CLOUD_NAME>"
Installer Cloudinary Structured Metadata MCP dans Gemini CLI
$ gemini mcp add -s user -e 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' -e 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' -e 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' -e 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' -e 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' -e 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' structured-metadata-mcp npx -- -y @cloudinary/structured-metadata-mcpInstaller Cloudinary Structured Metadata MCP dans Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"structured-metadata-mcp": {
"command": "npx",
"args": [
"-y",
"@cloudinary/structured-metadata-mcp"
],
"env": {
"CLOUDINARY_API_SECRET": "<YOUR_CLOUDINARY_API_SECRET>",
"CLOUDINARY_API_KEY": "<CLOUDINARY_API_KEY>",
"CLOUDINARY_CLOUD_NAME": "<CLOUDINARY_CLOUD_NAME>"
}
}
}
}Configuration
CLOUDINARY_API_SECRETRequisSecretYour Cloudinary API secret. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_SECRETRequisSecretYour Cloudinary API secret. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_KEYRequisYour Cloudinary API key. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_KEYRequisYour Cloudinary API key. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_CLOUD_NAMERequisYour Cloudinary cloud name. Find it in your Cloudinary Dashboard.
CLOUDINARY_CLOUD_NAMERequisYour Cloudinary cloud name. Find it in your Cloudinary Dashboard.
CLOUDINARY_URL
| Nom | Description | Type |
|---|---|---|
| CLOUDINARY_API_SECRET | Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys. | RequisSecret |
| CLOUDINARY_API_SECRET | Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys. | RequisSecret |
| CLOUDINARY_API_KEY | Your Cloudinary API key. Found in Dashboard > Settings > Access Keys. | Requis |
| CLOUDINARY_API_KEY | Your Cloudinary API key. Found in Dashboard > Settings > Access Keys. | Requis |
| CLOUDINARY_CLOUD_NAME | Your Cloudinary cloud name. Find it in your Cloudinary Dashboard. | Requis |
| CLOUDINARY_CLOUD_NAME | Your Cloudinary cloud name. Find it in your Cloudinary Dashboard. | Requis |
| CLOUDINARY_URL | — |
Vérifications automatisées
Exécuté le 13 nov. 2026Rapport complet →A passé nos vérifications automatisées. Il ne s'agit pas d'un audit de sécurité : lisez le code et donnez au serveur l'accès le plus restreint dont il a besoin. Fonctionnement des vérifications
- Dépôt source lié et accessibleRéussi
- Licence open source (OSI)Réussi
- Commit ou version publiée au cours de l'année écouléeRéussi
- Nom du package non proche d'un package populaireRéussi
- L'endpoint distant utilise HTTPSRéussi
- Les outils destructifs sont étiquetésNon vérifié
- Aucune instruction cachée destinée au modèleRéussi
- Aucun avis critique dans le package ou ses dépendancesRéussi
README
Voir sur GitHubCloudinary Structured Metadata MCP Server
Summary
Table of Contents
Installation
The MCP server requires Node.js 20.19.0 or later.
Install the MCP server as a Desktop Extension using the pre-built mcp-server.mcpb file:
Simply drag and drop the mcp-server.mcpb file onto Claude Desktop to install the extension.
The MCP bundle package includes the MCP server and all necessary configuration. Once installed, the server will be available without additional setup.
[!NOTE] MCP bundles provide a streamlined way to package and distribute MCP servers. Learn more about Desktop Extensions.
Or manually:
- Open Cursor Settings
- Select Tools and Integrations
- Select New MCP Server
- If the configuration file is empty paste the following JSON into the MCP Server Configuration:
{
"command": "npx",
"args": [
"@cloudinary/structured-metadata-mcp",
"start",
"--api-key",
"",
"--api-secret",
"",
"--cloud-name",
""
]
}
claude mcp add CloudinarySMD -- npx -y @cloudinary/structured-metadata-mcp start --api-key --api-secret --cloud-name
gemini mcp add CloudinarySMD -- npx -y @cloudinary/structured-metadata-mcp start --api-key --api-secret --cloud-name
Refer to Official Windsurf documentation for latest information
- Open Windsurf Settings
- Select Cascade on left side menu
- Click on
Manage MCPs. (To Manage MCPs you should be signed in with a Windsurf Account) - Click on
View raw configto open up the mcp configuration file. - If the configuration file is empty paste the full json
{
"command": "npx",
"args": [
"@cloudinary/structured-metadata-mcp",
"start",
"--api-key",
"",
"--api-secret",
"",
"--cloud-name",
""
]
}
Or manually:
Refer to Official VS Code documentation for latest information
- Open Command Palette
- Search and open
MCP: Open User Configuration. This should open mcp.json file - If the configuration file is empty paste the full json
{
"command": "npx",
"args": [
"@cloudinary/structured-metadata-mcp",
"start",
"--api-key",
"",
"--api-secret",
"",
"--cloud-name",
""
]
}
npx @cloudinary/structured-metadata-mcp start --api-key --api-secret --cloud-name
For a full list of server arguments, run:
npx @cloudinary/structured-metadata-mcp --help
Configuration
Environment Variables
The MCP server supports the following environment variables:
| Variable | Description | Required |
|---|---|---|
CLOUDINARY_CLOUD_NAME |
Your Cloudinary cloud name | Yes |
CLOUDINARY_API_KEY |
Your Cloudinary API key | Yes |
CLOUDINARY_API_SECRET |
Your Cloudinary API secret | Yes |
CLOUDINARY_URL |
Complete Cloudinary URL (alternative to individual vars) | No |
CLOUDINARY_URL Format
You can use a single CLOUDINARY_URL instead of individual variables:
CLOUDINARY_URL=cloudinary://API_KEY:API_SECRET@CLOUD_NAME
Authentication
The MCP server uses your Cloudinary API key and secret for authentication:
{
"env": {
"CLOUDINARY_CLOUD_NAME": "demo",
"CLOUDINARY_API_KEY": "123456789012345",
"CLOUDINARY_API_SECRET": "abcdefghijklmnopqrstuvwxyz12"
}
}
Available Tools
The MCP server exposes Cloudinary's Structured Metadata API as tools. Use your AI application to discover and invoke the available tools for managing metadata fields and rules.
Usage Examples
Example 1: Manage Metadata Fields
1. List fields: "Show me all metadata fields in my account"
2. Create field: "Create a metadata field named 'category' of type 'enum' with values 'product,service,other'"
3. Get field: "Get details for the metadata field 'category'"
4. Update field: "Update the 'category' field to add a new value 'subscription'"
5. Delete field: "Delete the metadata field 'old_field'"
Example 2: Manage Field Datasources
1. Search datasource: "Search for values in the 'category' field datasource"
2. Update datasource: "Add a new value 'enterprise' to the 'category' field datasource"
3. Delete datasource entry: "Remove the value 'old_value' from the 'category' field"
4. Restore datasource: "Restore a deleted datasource entry for field 'category'"
Example 3: Manage Metadata Rules
1. List rules: "Show all metadata rules configured in my account"
2. Create rule: "Create a metadata rule to auto-tag assets in folder 'products' with category 'product'"
3. Update rule: "Update metadata rule [rule-id] to change the target folder"
4. Delete rule: "Delete metadata rule [rule-id]"
Example 4: Reorder Metadata Fields
1. Reorder single field: "Move the 'priority' metadata field to position 2"
2. Reorder multiple fields: "Reorder metadata fields: set 'category' to position 1, 'priority' to position 2"
Development
Building from Source
Prerequisites
- Node.js v20 or higher
- npm, pnpm, bun, or yarn
Build Steps
# Clone the repository
git clone https://github.com/cloudinary/structured-metadata-mcp.git
cd structured-metadata-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run locally
npm start
Project Structure
structured-metadata-mcp/
├── src/
│ ├── hooks/ # Custom authentication hooks
│ ├── mcp-server/ # MCP server implementation
│ │ ├── server.ts # Main server (auto-generated)
│ │ └── tools/ # Generated tool wrappers
│ ├── funcs/ # API function implementations
│ └── models/ # Type definitions
├── .github/
│ └── workflows/ # CI/CD workflows
└── .speakeasy/ # Speakeasy configuration
Contributions
While we value contributions to this MCP Server, the code is generated programmatically. Any manual changes to generated files will be overwritten on the next generation.
What you can contribute:
- ✅ Custom hooks in
src/hooks/ - ✅ Documentation improvements
- ✅ Bug reports and feature requests
Generated files (do not edit):
- ❌
src/mcp-server/server.ts - ❌
src/mcp-server/tools/*.ts - ❌
src/funcs/*.ts - ❌
src/models/*.ts
We look forward to hearing your feedback. Feel free to open a PR or issue with a proof of concept and we'll do our best to include it in a future release.
MCP Server Created by Speakeasy
Progressive Discovery
MCP servers with many tools can bloat LLM context windows, leading to increased token usage and tool confusion. Dynamic mode solves this by exposing only a small set of meta-tools that let agents progressively discover and invoke tools on demand.
To enable dynamic mode, pass the --mode dynamic flag when starting your server:
{
"mcpServers": {
"CloudinarySMD": {
"command": "npx",
"args": ["@cloudinary/structured-metadata-mcp", "start", "--mode", "dynamic"],
// ... other server arguments
}
}
}
In dynamic mode, the server registers only the following meta-tools instead of every individual tool:
list_tools: Lists all available tools with their names and descriptions.describe_tool_input: Returns the input schema for one or more tools by name.execute_tool: Executes a tool by name with its arguments.list_scopes: Lists the scopes available on the server.
This approach significantly reduces the number of tokens sent to the LLM on each request, which is especially useful for servers with a large number of tools.
You can combine dynamic mode with scope and tool filters:
{
"mcpServers": {
"CloudinarySMD": {
"command": "npx",
"args": ["@cloudinary/structured-metadata-mcp", "start", "--mode", "dynamic", "--scope", "admin"],
// ... other server arguments
}
}
}
Questions sur Cloudinary Structured Metadata MCP
Comment ajouter Cloudinary Structured Metadata MCP à Claude Code ?
Exécutez claude mcp add --env 'CLOUDINARY_API_SECRET=<YOUR_CLOUDINARY_API_SECRET>' --env 'CLOUDINARY_API_KEY=<CLOUDINARY_API_KEY>' --env 'CLOUDINARY_CLOUD_NAME=<CLOUDINARY_CLOUD_NAME>' structured-metadata-mcp -- npx -y @cloudinary/structured-metadata-mcp dans votre terminal. Ajoutez --scope user pour le rendre disponible dans tous les projets.
Comment ajouter Cloudinary Structured Metadata MCP à Cursor ?
Ouvrez ~/.cursor/mcp.json et ajoutez le serveur sous mcpServers, avec la configuration Cursor indiquée dans la section d'installation ci-dessus.
Quelles méthodes d'authentification sont prises en charge ?
Le serveur utilise votre clé API, votre API secret et votre cloud name Cloudinary pour l'authentification, lesquels peuvent être fournis via des variables d'environnement ou une unique CLOUDINARY_URL.
Puis-je utiliser le mode dynamique pour économiser des tokens ?
Oui, vous pouvez activer le mode dynamique en passant le flag --mode dynamic, ce qui expose des meta-tools pour une découverte progressive au lieu de charger tous les outils d'un coup.