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Summary

GLPI open-source ITSM and asset management: tickets, computers, monitors, software, users and entities, plus GLPI's search engine. REST API on your own instance, session-token auth with an App-Token.

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Example prompts for GLPI

Click any prompt to copy it. Paste into Claude, ChatGPT, Cursor, Gemini, Copilot or OpenClaw to run it against this connector.

GLPI · live via MCP

Claude is AI and can make mistakes. Please double-check responses.

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GLPI + Gemini

GLPI open-source ITSM and asset management: tickets, computers, monitors, software, users and entities, plus GLPI's search engine. REST API on your own instance, session-token auth with an App-Token.

Prerequisites

See the full setup instructions baked into the connector (visible in the in-app store when you select the connector). The required environment variables for this connector are:

GLPI_URL, GLPI_APP_TOKEN, GLPI_USER_TOKEN

Step 1 — Get credentials

GLPI needs two tokens, and both are easy to confuse.

App-Token — identifies the application. In GLPI go to Setup → General → API, enable 'Enable Rest API' and 'Enable login with external token', add an API client, and copy its application token. Put it in GLPI_APP_TOKEN.
User-Token — identifies the person. Open the GLPI user the agent should act as, go to the API tab of their profile, and regenerate the remote access key (personal API token). Put it in GLPI_USER_TOKEN.
Set GLPI_URL to the instance root (no trailing slash); the adapter appends /apirest.php.

…(continued in the in-app connector instructions)

Step 2 — Install the adapter

curl -fsSL https://raw.githubusercontent.com/HelpCode-ai/anythingmcp/main/docker-compose.quickstart.yml -o docker-compose.yml
printf 'JWT_SECRET=%s\nENCRYPTION_KEY=%s\n' "$(openssl rand -hex 32)" "$(openssl rand -hex 32)" > .env
docker compose up -d

Step 3 — Add the connector in Gemini

Your server URL: in AnythingMCP, open MCP Servers → the server this connector is on, and copy its URL (https://cloud.anythingmcp.com/mcp/…). Use it wherever this guide shows YOUR_SERVER_ID.

Gemini CLI reads MCP servers from ~/.gemini/settings.json (or %APPDATA%\gemini\settings.json on Windows). Add:

{
  "mcpServers": {
    "anythingmcp": {
      "httpUrl": "https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID",
      "headers": { "X-API-Key": "YOUR_MCP_API_KEY" }
    }
  }
}

Get your MCP API key from AnythingMCP → MCP Servers → your server → API keys.
Save the file and restart gemini.
Run /mcp inside the Gemini CLI — GLPI should be listed as available.
Vertex AI Studio: pass https://cloud.anythingmcp.com/mcp/YOUR_SERVER_ID to the tools array of your request with the same X-API-Key header.

Available tools

Tool	What it does
`glpi_get_active_entities`	Read the entities the logged-in user is currently scoped to
`glpi_list_tickets`	List tickets in the active entity with their status, priority, category, requester and dates
`glpi_get_ticket`	Read one ticket in full, with its description, status, urgency, impact, priority, requester, assignee and SLA dates
`glpi_get_ticket_followups`	Read the follow-ups (the conversation) on one ticket, in order, with author, date and whether each is private
`glpi_search`	Run a GLPI search with criteria
`glpi_list_search_options`	Read the searchable field map for one item type: which field number means status, requester, serial number and so on
`glpi_list_computers`	List computers from the asset inventory with their name, serial number, model, operating system and assigned user
`glpi_get_computer`	Read one computer in full: hardware, OS, network interfaces, contracts, location and the user it is assigned to
`glpi_list_users`	List GLPI users with their login, name, e-mail, entity and active flag, to resolve who a ticket or an asset belongs to
`glpi_list_software`	List software items from the inventory with their publisher, category and the number of installations, for licence questions

FAQ

Does Gemini 1.5 Pro or 2.x support MCP? Yes — Gemini CLI ≥ 0.4 and Vertex AI tools API both accept MCP httpUrl connectors with custom headers.

Next steps

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How to Connect GLPI to Gemini — via MCP

Example prompts for GLPI

GLPI + Gemini

Prerequisites

Step 1 — Get credentials

Step 2 — Install the adapter

Step 3 — Add the connector in Gemini

Available tools

FAQ

Next steps

Your GLPI agent is one click away.

Related guides

How to Connect GLPI to Microsoft Copilot — via MCP

How to Connect GLPI to Meta Muse — via MCP

How to Connect GLPI to ChatGPT — via MCP

How to Connect GLPI to Claude — via MCP

How to Connect GLPI to Cursor — via MCP

GLPI to MCP — Drive GLPI from any AI Agent