GLPI MCP

Name: GLPI MCP
Author: mhajder

by mhajderversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.mhajder/glpi-mcp

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new↓ 44/wk · ★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio, Streamable HTTP
Category: Search & AI memory
You need to fill in: GLPI_URL, GLPI_CLIENT_ID, GLPI_CLIENT_SECRET, GLPI_USERNAME, GLPI_PASSWORD

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: 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

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into 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"
      }
    }
  }
}

Run this in your 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

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "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"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

GLPI_URL required env
GLPI root URL without /api.php (e.g., https://glpi.example.com); needs GLPI 11.0.6+ or 12
GLPI_CLIENT_ID required env
OAuth client ID from GLPI Setup > OAuth clients
GLPI_CLIENT_SECRET secret required env
OAuth client secret from GLPI Setup > OAuth clients
GLPI_USERNAME required env
GLPI user the tools act as (OAuth password grant)
GLPI_PASSWORD secret required 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

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account mhajder, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5684 servers in this category
Published to the registry more recently than 98% of the other 5684 servers in this category
Basic checks equal to or better than 100% of the other 5684 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is GLPI MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: GLPI_URL, GLPI_CLIENT_ID, GLPI_CLIENT_SECRET, GLPI_USERNAME, GLPI_PASSWORD

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

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

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

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

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

Clone the repository:

git clone https://github.com/mhajder/glpi-mcp.git

cd glpi-mcp

Install dependencies:

# Using UV (recommended)

uv sync

Or using pip

pip install -e .

Configure environment variables:

cp .env.example .env

Edit .env with your GLPI URL and OAuth credentials

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

Enable the API: Setup > General > API > "Enable API".
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.

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.

GLPI	Versions offered	`GLPI_API_VERSION=auto` picks
10.x, 11.0.0-11.0.5	none / 2.0-2.2	not supported
11.0.6+	2.3	2.3
12.x	2.3, 3.0	3.0

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 (

Only the beginning is shown; read the rest in the repo

GLPI MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

GLPI MCP Server

✨ Features

Core Features

Management Operations

Advanced Capabilities

🚀 Installation

Prerequisites

Quick Install from PyPI

Or using pip

Install from Source

Or using pip

Edit .env with your GLPI URL and OAuth credentials

Or using the installed command directly

Using Docker

Open WebUI

Development Setup

Run tests

Run with coverage

Run linting and formatting

Run type checking

Setup prek hooks

🔧 Configuration

GLPI setup

Environment Variables

GLPI root URL, without /api.php

OAuth client from Setup > OAuth clients

GLPI account the tools act as (OAuth password grant)

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

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

Optional: entity and profile to work in

GLPI_ENTITY=0

GLPI_ENTITY_RECURSIVE=true

GLPI_PROFILE=4

SSL Configuration

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

Dry-Run Mode

Disabled Tags

Example: DISABLED_TAGS=assets,knowledgebase,graphql

Response Size Limit (bytes; empty = unlimited)

RESPONSE_MAX_SIZE=500000

Logging Configuration

Rate Limiting

Tool Search Transform (Optional)

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_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