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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

GLPI MCP

de mhajderversión 0.1.1i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.mhajder/glpi-mcp

Instalar

Resumen

Descripción del creador (original en inglés)

MCP server for GLPI IT service management (tickets, assets, users, knowledge base)

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio, Streamable HTTP
  • Categoría: Búsqueda y memoria de IA
  • Debes completar: GLPI_URL, GLPI_CLIENT_ID, GLPI_CLIENT_SECRET, GLPI_USERNAME, GLPI_PASSWORD

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

  • Revisiones básicas: 1 de 1 superadas
  • Se ejecuta en tu computadora con los permisos de tu usuario (archivos, red, apps).
  • Debes completar tú: GLPI_URL, GLPI_CLIENT_ID, GLPI_CLIENT_SECRET, GLPI_USERNAME, GLPI_PASSWORD, GLPI_SCOPES, GLPI_API_VERSION, GLPI_ENTITY, GLPI_ENTITY_RECURSIVE, GLPI_PROFILE, GLPI_VERIFY_SSL, GLPI_TIMEOUT, READ_ONLY_MODE, DRY_RUN_MODE, DISABLED_TAGS, RESPONSE_MAX_SIZE, LOG_LEVEL, RATE_LIMIT_ENABLED, RATE_LIMIT_MAX_REQUESTS, RATE_LIMIT_WINDOW_MINUTES, TOOL_SEARCH_ENABLED, TOOL_SEARCH_STRATEGY, TOOL_SEARCH_MAX_RESULTS

Los valores marcados como secretos son llaves de tu cuenta. Nunca los compartas ni los pegues en un chat.

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "glpi": {
      "command": "uvx",
      "args": [
        "glpi-mcp-server"
      ],
      "env": {
        "GLPI_URL": "your-value",
        "GLPI_CLIENT_ID": "your-value",
        "GLPI_CLIENT_SECRET": "your-value",
        "GLPI_USERNAME": "your-value",
        "GLPI_PASSWORD": "your-value",
        "GLPI_SCOPES": "your-value",
        "GLPI_API_VERSION": "your-value",
        "GLPI_ENTITY": "your-value",
        "GLPI_ENTITY_RECURSIVE": "your-value",
        "GLPI_PROFILE": "your-value",
        "GLPI_VERIFY_SSL": "your-value",
        "GLPI_TIMEOUT": "your-value",
        "READ_ONLY_MODE": "your-value",
        "DRY_RUN_MODE": "your-value",
        "DISABLED_TAGS": "your-value",
        "RESPONSE_MAX_SIZE": "your-value",
        "LOG_LEVEL": "your-value",
        "RATE_LIMIT_ENABLED": "your-value",
        "RATE_LIMIT_MAX_REQUESTS": "your-value",
        "RATE_LIMIT_WINDOW_MINUTES": "your-value",
        "TOOL_SEARCH_ENABLED": "your-value",
        "TOOL_SEARCH_STRATEGY": "your-value",
        "TOOL_SEARCH_MAX_RESULTS": "your-value"
      }
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add glpi --env GLPI_URL=your-value --env GLPI_CLIENT_ID=your-value --env GLPI_CLIENT_SECRET=your-value --env GLPI_USERNAME=your-value --env GLPI_PASSWORD=your-value --env GLPI_SCOPES=your-value --env GLPI_API_VERSION=your-value --env GLPI_ENTITY=your-value --env GLPI_ENTITY_RECURSIVE=your-value --env GLPI_PROFILE=your-value --env GLPI_VERIFY_SSL=your-value --env GLPI_TIMEOUT=your-value --env READ_ONLY_MODE=your-value --env DRY_RUN_MODE=your-value --env DISABLED_TAGS=your-value --env RESPONSE_MAX_SIZE=your-value --env LOG_LEVEL=your-value --env RATE_LIMIT_ENABLED=your-value --env RATE_LIMIT_MAX_REQUESTS=your-value --env RATE_LIMIT_WINDOW_MINUTES=your-value --env TOOL_SEARCH_ENABLED=your-value --env TOOL_SEARCH_STRATEGY=your-value --env TOOL_SEARCH_MAX_RESULTS=your-value -- uvx glpi-mcp-server

Completa los valores vacíos antes de ejecutarlo.

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "glpi": {
      "command": "uvx",
      "args": [
        "glpi-mcp-server"
      ],
      "env": {
        "GLPI_URL": "your-value",
        "GLPI_CLIENT_ID": "your-value",
        "GLPI_CLIENT_SECRET": "your-value",
        "GLPI_USERNAME": "your-value",
        "GLPI_PASSWORD": "your-value",
        "GLPI_SCOPES": "your-value",
        "GLPI_API_VERSION": "your-value",
        "GLPI_ENTITY": "your-value",
        "GLPI_ENTITY_RECURSIVE": "your-value",
        "GLPI_PROFILE": "your-value",
        "GLPI_VERIFY_SSL": "your-value",
        "GLPI_TIMEOUT": "your-value",
        "READ_ONLY_MODE": "your-value",
        "DRY_RUN_MODE": "your-value",
        "DISABLED_TAGS": "your-value",
        "RESPONSE_MAX_SIZE": "your-value",
        "LOG_LEVEL": "your-value",
        "RATE_LIMIT_ENABLED": "your-value",
        "RATE_LIMIT_MAX_REQUESTS": "your-value",
        "RATE_LIMIT_WINDOW_MINUTES": "your-value",
        "TOOL_SEARCH_ENABLED": "your-value",
        "TOOL_SEARCH_STRATEGY": "your-value",
        "TOOL_SEARCH_MAX_RESULTS": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "glpi": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "glpi-mcp-server"
      ],
      "env": {
        "GLPI_URL": "your-value",
        "GLPI_CLIENT_ID": "your-value",
        "GLPI_CLIENT_SECRET": "your-value",
        "GLPI_USERNAME": "your-value",
        "GLPI_PASSWORD": "your-value",
        "GLPI_SCOPES": "your-value",
        "GLPI_API_VERSION": "your-value",
        "GLPI_ENTITY": "your-value",
        "GLPI_ENTITY_RECURSIVE": "your-value",
        "GLPI_PROFILE": "your-value",
        "GLPI_VERIFY_SSL": "your-value",
        "GLPI_TIMEOUT": "your-value",
        "READ_ONLY_MODE": "your-value",
        "DRY_RUN_MODE": "your-value",
        "DISABLED_TAGS": "your-value",
        "RESPONSE_MAX_SIZE": "your-value",
        "LOG_LEVEL": "your-value",
        "RATE_LIMIT_ENABLED": "your-value",
        "RATE_LIMIT_MAX_REQUESTS": "your-value",
        "RATE_LIMIT_WINDOW_MINUTES": "your-value",
        "TOOL_SEARCH_ENABLED": "your-value",
        "TOOL_SEARCH_STRATEGY": "your-value",
        "TOOL_SEARCH_MAX_RESULTS": "your-value"
      }
    }
  }
}

Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.

Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.

Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.

Valores que debes completar

  • GLPI_URL obligatorio env
    GLPI root URL without /api.php (e.g., https://glpi.example.com); needs GLPI 11.0.6+ or 12
  • GLPI_CLIENT_ID obligatorio env
    OAuth client ID from GLPI Setup > OAuth clients
  • GLPI_CLIENT_SECRET secreto obligatorio env
    OAuth client secret from GLPI Setup > OAuth clients
  • GLPI_USERNAME obligatorio env
    GLPI user the tools act as (OAuth password grant)
  • GLPI_PASSWORD secreto obligatorio env
    Password of the GLPI user
  • GLPI_SCOPES env
    OAuth scopes to request, space- or comma-separated (add graphql for GraphQL)
  • GLPI_API_VERSION env
    High-Level API version: auto, 2.3 or 3.0
  • GLPI_ENTITY env
    Entity ID to work in (GLPI-Entity header)
  • GLPI_ENTITY_RECURSIVE env
    Include sub-entities of GLPI_ENTITY
  • GLPI_PROFILE env
    Profile ID to work with (GLPI-Profile header)
  • GLPI_VERIFY_SSL env
    Verify SSL certificates
  • GLPI_TIMEOUT env
    Total seconds allowed for one request, retries included
  • READ_ONLY_MODE env
    Enable read-only mode to restrict write operations
  • DRY_RUN_MODE env
    Write tools return the request they would send instead of changing GLPI
  • DISABLED_TAGS env
    Comma-separated list of tags to disable tools for
  • RESPONSE_MAX_SIZE env
    Maximum size of a tool response in bytes (empty = unlimited)
  • LOG_LEVEL env
    Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
  • RATE_LIMIT_ENABLED env
    Enable rate limiting
  • RATE_LIMIT_MAX_REQUESTS env
    Maximum requests per rate limit window
  • RATE_LIMIT_WINDOW_MINUTES env
    Rate limit window in minutes
  • TOOL_SEARCH_ENABLED env
    Enable FastMCP tool search transform
  • TOOL_SEARCH_STRATEGY env
    Tool search strategy (bm25 or regex)
  • TOOL_SEARCH_MAX_RESULTS env
    Maximum tool search results returned by search_tools

Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub mhajder, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 5655 servidores de esta categoría
  • Publicado en el registro más recientemente que el 100% de los otros 5655 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 5655 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro GLPI MCP?

Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.

¿Qué claves o códigos necesita?

Debes completar: GLPI_URL, GLPI_CLIENT_ID, GLPI_CLIENT_SECRET, GLPI_USERNAME, GLPI_PASSWORD

¿Se ejecuta en mi computadora o en la nube?

Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hoy.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv), Docker en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.

Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado hace 2 meses
Instalar

README del creador

Abrir el README

Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.

GLPI MCP Server

Let AI agents work with GLPI tickets, assets and the knowledge base through the Model Context Protocol

Installation · Tools · Configuration · Security

GLPI MCP Server is a Python-based Model Context Protocol (MCP) server for the GLPI IT service management platform. It talks to GLPI's High-Level API (/api.php, OAuth2) and gives AI assistants and automation tools access to tickets, changes and problems (with their timeline and team), assets, users, groups, entities, the knowledge base and documents, plus generic tools that reach every endpoint GLPI exposes. It supports read and write operations, with read-only and dry-run modes, per-user GLPI access and OAuth login for remote MCP clients.

✨ Features

Core Features
  • Search tickets, changes and problems by status, type, priority, category, entity, dates, text or any RSQL filter
  • Read the full timeline of an item: followups, tasks, solutions, approvals and documents
  • Search and read assets of every type (including custom assets), with financial information
  • Find users, groups, entities and profiles
  • Search and read knowledge base articles; download documents
  • Discover every endpoint and schema from GLPI's own OpenAPI document, so nothing is hard-coded to one GLPI version
Management Operations
  • Create, update and delete tickets, changes and problems (if enabled)
  • Add followups, tasks, solutions and approval requests
  • Assign technicians and groups, add requesters and observers
  • Create, update and delete assets and knowledge base articles
  • Create, update and delete items at any endpoint with the generic tools
Advanced Capabilities
  • Supports GLPI 11.0.6+ (API 2.3) and GLPI 12 (API 3.0, or 2.3 if pinned); the version is detected and pinned in every request
  • OAuth password grant with token caching and renewal
  • Per-user access: token passthrough, or sign-in with GLPI accounts (OAuth login) for remote MCP clients
  • OIDC login through an external identity provider, or a static bearer token
  • Read-only mode, dry-run mode and tag-based tool filtering
  • HTML rich text converted to plain text to save tokens
  • Rate limiting, response size limit and optional tool-search transform
  • Multiple transport options (STDIO, SSE, HTTP) and optional Sentry integration

🚀 Installation

Prerequisites
  • Python 3.11 to 3.15
  • GLPI 11.0.6 or newer (including 12.x). GLPI 10 and GLPI 11.0.0-11.0.5 are not supported: they lack High-Level API 2.3
  • The API enabled in Setup > General > API ("Enable API")
  • An OAuth client (see GLPI setup)
Quick Install from PyPI

The easiest way to get started is to install from PyPI:

# Using UV (recommended)

uvx glpi-mcp-server

Or using pip

pip install glpi-mcp-server

Remember to configure the environment variables for your GLPI instance before running the server:

# Create environment configuration

export GLPI_URL=https://glpi.example.com export GLPI_CLIENT_ID=your-client-id export GLPI_CLIENT_SECRET=your-client-secret export GLPI_USERNAME=glpi-mcp export GLPI_PASSWORD=change-me

Install from Source
  1. Clone the repository:
git clone https://github.com/mhajder/glpi-mcp.git

cd glpi-mcp

  1. Install dependencies:
# Using UV (recommended)

uv sync

Or using pip

pip install -e .

  1. Configure environment variables:
cp .env.example .env

Edit .env with your GLPI URL and OAuth credentials

  1. Run the server:
# Using UV (recommended)

uv run glpi-mcp

Or using the installed command directly

glpi-mcp

Using Docker

A Docker image is available on GitHub Packages for easy deployment. It runs the HTTP Streamable transport on port 8000 (/mcp).

docker pull ghcr.io/mhajder/glpi-mcp:latest

When GLPI login or OIDC is enabled, mount a volume on /data so OAuth client registrations survive container recreation.

Open WebUI

Open WebUI 0.6.31 and later connect to the image directly. In Open WebUI, go to Admin Settings > Integrations > External Tool Servers, add a connection of type MCP (Streamable HTTP) with the URL http:// :8000/mcp, and set Bearer authentication to your MCP_HTTP_BEARER_TOKEN.

With GLPI login or OIDC enabled, use the public URL + /mcp and choose OAuth 2.1 authentication instead; Open WebUI registers itself as a client, so if you restrict redirect URIs, include your Open WebUI URL.

Development Setup

For development with additional tools:

# Clone and install with development dependencies

git clone https://github.com/mhajder/glpi-mcp.git cd glpi-mcp uv sync --group dev

Run tests

uv run pytest

Run with coverage

uv run pytest --cov=src/

Run linting and formatting

uv run ruff check . uv run ruff format .

Run type checking

uv run ty check .

Setup prek hooks

uv run prek install

🔧 Configuration

GLPI setup
  1. Enable the API: Setup > General > API > "Enable API".
  2. Create an OAuth client: Setup > OAuth clients > Add.
  • Grants: Password (for GLPI_USERNAME/GLPI_PASSWORD). Add Authorization Code for GLPI login.
  • Scopes: api and user. Add graphql for glpi_graphql_query.
  • For GLPI login, set the redirect URI to GLPI_OAUTH_BASE_URL + GLPI_OAUTH_REDIRECT_PATH.
  • Copy the generated client ID and secret.
  1. Create a GLPI user for the server (for example glpi-mcp) with a profile that has just the rights the tools need. Every tool call acts as this user, unless per-user access is enabled.
Environment Variables
# GLPI Connection Details

GLPI root URL, without /api.php

GLPI_URL=https://glpi.example.com

OAuth client from Setup > OAuth clients

GLPI_CLIENT_ID=your-client-id GLPI_CLIENT_SECRET=your-client-secret

GLPI account the tools act as (OAuth password grant)

GLPI_USERNAME=glpi-mcp GLPI_PASSWORD=change-me

OAuth scopes, space- or comma-separated (default: api user)

GLPI_SCOPES=api user

High-Level API version: auto (default), 2.3 or 3.0

GLPI_API_VERSION=auto

Optional: entity and profile to work in

GLPI_ENTITY=0

GLPI_ENTITY_RECURSIVE=true

GLPI_PROFILE=4

SSL Configuration

GLPI_VERIFY_SSL=true GLPI_TIMEOUT=30

Per-user GLPI access (HTTP transports only; pick at most one)

GLPI_TOKEN_PASSTHROUGH=false

GLPI_OAUTH_LOGIN=false

GLPI_OAUTH_BASE_URL=https://glpi-mcp.example.com

GLPI_OAUTH_REDIRECT_PATH=/auth/callback

GLPI_OAUTH_ALLOWED_REDIRECT_URIS=

Read-Only Mode

READ_ONLY_MODE=false

Dry-Run Mode

DRY_RUN_MODE=false

Disabled Tags

Example: DISABLED_TAGS=assets,knowledgebase,graphql

DISABLED_TAGS=

Response Size Limit (bytes; empty = unlimited)

RESPONSE_MAX_SIZE=500000

Logging Configuration

LOG_LEVEL=INFO

Rate Limiting

RATE_LIMIT_ENABLED=false RATE_LIMIT_MAX_REQUESTS=60 RATE_LIMIT_WINDOW_MINUTES=1

Tool Search Transform (Optional)

TOOL_SEARCH_ENABLED=false TOOL_SEARCH_STRATEGY=bm25 TOOL_SEARCH_MAX_RESULTS=5

Sentry Error Tracking (Optional)

SENTRY_DSN=https://your-key@o12345.ingest.us.sentry.io/6789

MCP Transport Configuration

'stdio' (default), 'sse' or 'http' ('streamable-http' is an alias for 'http')

MCP_TRANSPORT=stdio

MCP_HTTP_HOST=127.0.0.1

MCP_HTTP_PORT=8000

MCP_HTTP_BEARER_TOKEN=

OIDC / OAuth Authentication (optional, for remote hosting)

OIDC_CONFIG_URL=https://id.example.com/.well-known/openid-configuration

OIDC_CLIENT_ID=

OIDC_CLIENT_SECRET=

OIDC_BASE_URL=https://glpi-mcp.example.com

See .env.example for every setting with comments.

API versions

GLPI lists the High-Level API versions it offers at GET /api.php/. On first use the server reads that list and pins one version in every request path (/api.php/v2.3/... or /api.php/v3.0/...), because GLPI silently routes an unknown version to its newest one.

GLPIVersions offeredGLPI_API_VERSION=auto picks
10.x, 11.0.0-11.0.5none / 2.0-2.2not supported
11.0.6+2.32.3
12.x2.3, 3.03.0

Set GLPI_API_VERSION=2.3 to keep GLPI 12 on the 2.3 schemas (for example while migrating other integrations). The tools that depend on a schema difference handle both: knowledge base articles are filed under categories on 2.3 and under parent articles (parents) on 3.0.

Entity and profile

GLPI scopes every API session to an active profile and entities. By default these are the user's defaults. GLPI_ENTITY, GLPI_ENTITY_RECURSIVE and GLPI_PROFILE send the GLPI-Entity, GLPI-Entity-Recursive and GLPI-Profile headers with every request to change them. glpi_whoami shows the active ones and glpi_get_entity_tree lists the entities available.

🧰 Available Tools

Server & Session
  • glpi_server_info: API versions GLPI offers, the pinned version, auth mode and safety modes
  • glpi_whoami: The GLPI user the tools act as, with the active profile and entities
  • glpi_get_entity_tree: Entities the current user can work in
Tickets, Changes & Problems

All take itil_type: Ticket (default), Change or Problem.

  • glpi_search_itil: Search by status, type, priority, category, entity, dates, text or filter
  • glpi_get_itil: One item with its description and team
  • glpi_get_itil_timeline: Followups, tasks, solutions, approvals and documents
  • glpi_create_itil / glpi_update_itil / glpi_delete_itil: Create, update, delete
  • glpi_add_itil_followup: Add a followup (public or private)
  • glpi_add_itil_task: Add a task with state, time spent, technician and planning
  • glpi_add_itil_solution: Add a solution
  • glpi_request_itil_validation: Ask a user or group to approve a ticket or change
  • glpi_list_itil_team: Requesters, assignees and observers
  • glpi_add_itil_team_member / glpi_remove_itil_team_member: Assign or remove users, groups and suppliers
Assets
  • glpi_list_asset_types: Asset types of this GLPI, including custom assets
  • glpi_search_assets: Search one asset type, or all at once, by name, serial, inventory number or filter
  • glpi_get_asset: One asset, optionally with financial information
  • glpi_create_asset / glpi_update_asset / glpi_delete_asset: Create, update, delete
Users, Groups, Entities & Profiles
  • glpi_search_users / glpi_get_user: Find users; get one by ID or login
  • glpi_search_groups / glpi_get_group: Find groups; get one by ID
  • glpi_search_entities / glpi_get_entity: Find entities; get one by ID
  • glpi_list_profiles: Profiles (

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx