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 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 reservations
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:
In VSCode for example:
"mcp": {
"servers": {
"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:
Start the server in a terminal:
glpimcp
Configure the server in your client:
"rhsupportcli": {
"transport": "streamable-http",
"url": "http://your_server:8000"
"headers": {
"GLPI_URL": "https://server/apirest.php",
"GLPI_USER": "myuser",
"GLPI_TOKEN": "mytoken"
}
}
1 maintainer
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