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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.
Try asking
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.
Claude is AI and can make mistakes. Please double-check responses.
💡 No install? Use cloud.anythingmcp.com directly. Sign in, click Connectors → GLPI, paste your credentials, mint an MCP API key — done. No Docker, no
git clone, no local server.
GLPI + ChatGPT
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_URLto 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 ChatGPT
ChatGPT supports MCP servers via the Connectors feature (Plus / Pro / Team / Enterprise plans). The free tier does not support custom connectors.
- Open ChatGPT → Settings → Connectors (or click the 🔧 icon in the composer → Manage connectors).
- Click "Add custom connector".
- Fill in:
- Name:
GLPI - MCP server URL:
https://cloud.anythingmcp.com/mcp - Authentication: Bearer token → paste your MCP API key (from AnythingMCP → Profile → MCP API Keys → New Key)
- Name:
- Click Connect to authorize.
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 ChatGPT free tier work with custom MCP connectors? No — Plus, Pro, Team or Enterprise required.
Next steps
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