This repo contains code for a lightweight client to interact with GLPI and a MCP to consume it from any LLM

Requirements

• Available glpi instance
• valid user and API token
• prettytable python library

Installation

pip3 install glpic

Using client

Store your creds in any env file such as glpic.env.sample and set data accordingly You can then use the following commands

• List users

glpic list users

• List computers

glpic list computers

• Get information on a specific computer

glpic info computer $computer

• List reservations

glpic list reservations

• Get information on a specific reservation

glpic info reservation $reservation

• Update a given reservation

glpic update reservation $reservation -P end=20240601

• Update all reservations

glpic update reservations

Using MCP

The server is started and configured differently depending on what transport you want to use

For STDIO, you can include the following configuration snippet In VSCode or Claude Desktop:

"mcpServers": {
    "glpi": {
        "command": "python3",
        "args": ["/path/to/glpic/src/glpic/mcp_server.py", "--stdio"],
        "env": {
            "GLPI_URL": "https://server/apirest.php",
            "GLPI_USER": "myuser",
            "GLPI_TOKEN": "mytoken"
            }
        }
    }

For Streamable HTTP, first start the server in a terminal:

glpimcp

You can then point to the server from your client with a modified snippet

"mcpServers": {
         "glpi": {
             "command": "/usr/local/bin/npx",
             "args": ["mcp-remote", "http://your_server:8000/mcp", "--allow-http",
             "--header", "GLPI_URL: https://server/apirest.php",
             "--header", "GLPI_USER: myuser",
             "--header", "GLPI_TOKEN: mytoken"]
        }
    }

For Claude Code, you can add the mcp directly from command line:

claude mcp add --transport http glpi http://your_server:8000/mcp -H "GLPI_URL: https://server/apirest.php" -H "GLPI_USER: myuser" -H "GLPI_TOKEN: mytoken"