Permite que un cliente de IA cree y gestione campos de metadatos estructurados, fuentes de datos y reglas en Cloudinary.
También conocido como cloudinary/structured-metadata-mcp, structured-metadata-mcp, @cloudinary/structured-metadata-mcp
- Stars
- 0
- Herramientas
- —
- Descargas, 30 días
- 924
- Última versión
- 0.6.2
- Último commit
- 14 nov 2026
- Licencia
- MIT
¿Qué es Cloudinary Structured Metadata MCP?
Cloudinary Structured Metadata es un MCP server. Permite que un cliente de IA cree y gestione campos de metadatos estructurados, fuentes de datos y reglas en Cloudinary.
Resumen generado a partir del README del proyecto
Acerca del MCP server de Cloudinary Structured Metadata
Gestionar la organización de activos en Cloudinary mediante lenguaje natural es lo que este MCP server permite a desarrolladores y gestores de medios. Proporciona una interfaz para que los clientes de IA interactúen directamente con la Structured Metadata API de Cloudinary, permitiendo la creación y administración programática de campos de metadatos, fuentes de datos y reglas de automatización.
Los usuarios pueden integrar este servidor en entornos como Claude Desktop, Cursor, VS Code, o mediante herramientas de CLI como Claude Code y Gemini. La configuración requiere un entorno Node.js y autenticación mediante una Cloudinary API key, API secret y cloud name, que pueden proporcionarse a través de variables de entorno individuales o una única CLOUDINARY_URL.
Este servidor destaca por ofrecer un modo dinámico para evitar la saturación de la ventana de contexto. Al usar el flag --mode dynamic, el servidor expone meta-tools como list_tools y execute_tool, permitiendo que la IA descubra capacidades específicas bajo demanda en lugar de cargar todas las herramientas disponibles de golpe. Esto lo hace eficiente para flujos de trabajo complejos que involucren el reordenamiento de campos, actualizaciones de fuentes de datos y gestión de reglas.
Qué puedes hacer con él
- 1Automatizar la creación de campos de metadatosPide a tu cliente de IA que genere nuevos campos de metadatos con tipos y valores específicos.
- 2Gestionar las fuentes de datos de los camposIndica a un agente que añada o elimine valores específicos de la fuente de datos de un campo existente.
- 3Configurar reglas de automatización de activosConfigura reglas que apliquen automáticamente etiquetas de metadatos a los activos dentro de carpetas específicas.
- 4Organizar el orden de los campos de metadatosSolicita a la IA que reordene la posición de múltiples campos de metadatos a la vez.
Escrito a partir del README del proyecto. Cada caso de uso se verifica con una cita del mismo.
Cómo instalar Cloudinary Structured Metadata MCP
Formatos verificados el 10 nov 2026Añadir a CursorAñadir a GooseInstalar Cloudinary Structured Metadata MCP en 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-mcpInstalar Cloudinary Structured Metadata MCP en 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>"
}
}
}
}Instalar Cloudinary Structured Metadata MCP en 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>"
}
}
}
}Instalar Cloudinary Structured Metadata MCP en 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>"}}'Instalar Cloudinary Structured Metadata MCP en 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>"
}
}
}
}Instalar Cloudinary Structured Metadata MCP en 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-mcpInstalar Cloudinary Structured Metadata MCP en 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>"
Instalar Cloudinary Structured Metadata MCP en 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-mcpInstalar Cloudinary Structured Metadata MCP en 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>"
}
}
}
}Configuración
CLOUDINARY_API_SECRETObligatorioSecretoYour Cloudinary API secret. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_SECRETObligatorioSecretoYour Cloudinary API secret. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_KEYObligatorioYour Cloudinary API key. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_API_KEYObligatorioYour Cloudinary API key. Found in Dashboard > Settings > Access Keys.
CLOUDINARY_CLOUD_NAMEObligatorioYour Cloudinary cloud name. Find it in your Cloudinary Dashboard.
CLOUDINARY_CLOUD_NAMEObligatorioYour Cloudinary cloud name. Find it in your Cloudinary Dashboard.
CLOUDINARY_URL
| Nombre | Descripción | Tipo |
|---|---|---|
| CLOUDINARY_API_SECRET | Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys. | ObligatorioSecreto |
| CLOUDINARY_API_SECRET | Your Cloudinary API secret. Found in Dashboard > Settings > Access Keys. | ObligatorioSecreto |
| CLOUDINARY_API_KEY | Your Cloudinary API key. Found in Dashboard > Settings > Access Keys. | Obligatorio |
| CLOUDINARY_API_KEY | Your Cloudinary API key. Found in Dashboard > Settings > Access Keys. | Obligatorio |
| CLOUDINARY_CLOUD_NAME | Your Cloudinary cloud name. Find it in your Cloudinary Dashboard. | Obligatorio |
| CLOUDINARY_CLOUD_NAME | Your Cloudinary cloud name. Find it in your Cloudinary Dashboard. | Obligatorio |
| CLOUDINARY_URL | — |
Verificaciones automáticas
Ejecutado 13 nov 2026Informe completo →Pasó nuestras verificaciones automáticas. Esto no es una auditoría de seguridad: lee el código y dale al servidor el acceso más limitado que necesite. Cómo funcionan las verificaciones
- Repositorio de origen vinculado y accesibleAprobado
- Licencia de código abierto (OSI)Aprobado
- Commit o lanzamiento en el último añoAprobado
- El nombre del paquete no es similar a un paquete popularAprobado
- El endpoint remoto usa HTTPSAprobado
- Las herramientas destructivas están etiquetadasNo verificado
- Sin instrucciones ocultas para el modeloAprobado
- No hay avisos críticos en el paquete ni en sus dependenciasAprobado
README
Ver en 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
}
}
}
Preguntas sobre Cloudinary Structured Metadata MCP
¿Cómo agrego Cloudinary Structured Metadata MCP a Claude Code?
Ejecuta 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 en tu terminal. Añade --scope user para que esté disponible en todos los proyectos.
¿Cómo agrego Cloudinary Structured Metadata MCP a Cursor?
Abre ~/.cursor/mcp.json y añade el servidor en mcpServers, usando la configuración de Cursor que se muestra en la sección de instalación de arriba.
¿Qué métodos de autenticación están soportados?
El servidor utiliza tu API key, API secret y cloud name de Cloudinary para la autenticación, los cuales pueden proporcionarse mediante variables de entorno o una única CLOUDINARY_URL.
¿Puedo usar el modo dinámico para ahorrar tokens?
Sí, puedes activar el modo dinámico pasando el flag --mode dynamic, lo que expone meta-tools para un descubrimiento progresivo en lugar de todas las herramientas a la vez.