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Centreon MCP Server

This project offers an MCP server for Centreon. Built in Python with the FastMCP library, it enables users to perform operations on a Centreon instance using natural language commands.

Features

Using natural language, you can ask the Centreon MCP server to:

Keep an eye on your infrastructure

  • Check the real-time status of your hosts and services, filtering by state, group, category, poller, and more.

  • Get an instant count of how many resources are up, down, or in trouble, without digging through dashboards.

  • Look back at what happened on a host or service recently — outages, notifications, downtimes, acknowledgements, and comments.

Manage your monitoring configuration

  • Browse, create, update, and delete hosts, services, and their categories, groups, severities, and templates.

  • Manage commands, time periods and monitoring servers (pollers).

  • Push configuration changes to your pollers by generating or reloading them on demand.

React to incidents

  • Acknowledge an alert, schedule a downtime, add a comment, or trigger an immediate check.

  • Review current acknowledgements and downtimes, and cancel them when they're no longer needed.

Analyze performance

  • Retrieve a service's metrics along with their current values and warning/critical thresholds.

Diagnose problems with ready-made prompts

  • Run the host diagnosis prompt on a host: it checks the host's state, services, metrics and recent history, explains the most likely root cause, and suggests what to do next, without changing anything until you ask.

Control access with pluggable authentication

  • Choose how MCP clients authenticate and which Centreon instance each request targets by selecting an authentication plugin.

  • Restrict tools by role: readers can list and inspect, editors can create, update and act on alerts, admins can also delete and push configuration to pollers.

For the exact list of underlying tools and prompts, see TOOLS.md and PROMPTS.md.

Related MCP server: vibeMK

Quick Start

  1. Clone the repository

git clone https://github.com/centreon/centreon-mcp.git
cd centreon-mcp
  1. Set up authentication by choosing a plugin and setting its environment variables, as described in the Authentication section.

  2. Ensure all required environment variables are set. Default values are used for optional variables.

Name

Required

Default

Description

CENTREON_AUTH_PLUGIN

False

none

Authentication plugin to load, see Authentication.

CENTREON_CLIENT_TIMEOUT

False

30

Timeout, in seconds, for requests to the Centreon API.

CENTREON_TLS_SECURE

False

True

Whether to verify the Centreon server's TLS certificate.

CENTREON_CA_BUNDLE

False

None

Path to a custom CA bundle used to verify the TLS certificate.

CENTREON_MCP_HOST

False

localhost

Network interface the MCP HTTP server binds to.

CENTREON_MCP_PORT

False

8000

TCP port the MCP HTTP server listens on.

CENTREON_MCP_LOG_LEVEL

False

INFO

Lowest severity level emitted by the MCP service logs.

CENTREON_MCP_WEBSITE_URL

False

None

Website with more information about your server, shown in client apps.

Setting CENTREON_TLS_SECURE to False disables TLS certificate verification and is not recommended in production.

If CENTREON_CA_BUNDLE is None, the system default CA store is used to verify the TLS certificate. If CENTREON_CA_BUNDLE is set while TLS verification is enabled but the path does not exist, the server refuses to start.

Available log level for Centreon service are: DEBUG, INFO, WARNING, ERROR, CRITICAL

Using UV

  1. Start the MCP server

uv run centreon-mcp-server
  1. If the MCP server is not reachable from the internet, expose it using a tunneling tool such as Ngrok:

ngrok http 8000

Replace 8000 with the value of CENTREON_MCP_PORT if you changed the default.

Using Docker

  1. Build Docker image

docker build -t centreon/mcp .
  1. Start the MCP server

docker compose up
  1. To make it reachable from the internet, export NGROK_AUTHTOKEN in the environment and enable ngrok profile.

docker compose --profile ngrok up

Use curl http://localhost:4040/api/tunnels to retrieve public URL

Authentication

Authentication is handled by a plugin, selected with the CENTREON_AUTH_PLUGIN environment variable. The plugin decides:

  • how MCP clients authenticate to the MCP server;

  • which Centreon instance, and with which API token, each request targets;

  • which role the user is granted, and therefore which tools they can call.

Role

Granted tools

READER

List, get and count tools.

EDITOR

READER tools, plus create/update tools and setting or cancelling monitoring actions.

ADMIN

EDITOR tools, plus delete tools and poller generate/reload.

Each plugin reads its own settings from CENTREON_* environment variables, described in its section below.

none (default)

Leaves the MCP server unauthenticated and serves a single Centreon instance. Every client is granted the ADMIN role: what a client can actually do is bounded by the rights of the Centreon API token in use.

Name

Required

Default

Description

CENTREON_BASE_URL

True

Base URL of the Centreon instance to connect to.

CENTREON_API_TOKEN

False

None

Fallback API token, used when the MCP client sends none.

The server refuses to start if CENTREON_BASE_URL is not set.

A token sent by the MCP client in the centreon-api-token header takes precedence over CENTREON_API_TOKEN, so each client can act with its own Centreon rights.

Only use this plugin when the MCP server is not exposed to untrusted clients, or when every client provides its own Centreon API token.

Integration

  1. Open ChatGPT and sign in.

  2. Click on your profile picture in the bottom-left corner, then select Settings.

  3. Go to the Connectors section and click Create.

  4. Fill in the form:

    • Name: Centreon (or any name you prefer)

    • URL: the address of your running MCP server, e.g. https://<ngrok-subdomain>.ngrok-free.app/mcp

    • Headers: Optionally, provide a valid Centreon API token in the centreon-api-token header. This token takes precedence over the token specified through the CENTREON_API_TOKEN environment variable.

  5. Click Save to register the connector.

Once the connector is added, ChatGPT will automatically discover and use the Centreon MCP tools in your conversations.

  1. Open Le Chat and sign in.

  2. Click on Intelligence in the left sidebar, then select Connectors.

  3. Click Add a connector, then choose Custom MCP connector.

  4. Fill in the form:

    • Name: Centreon (or any name you prefer)

    • URL: the address of your running MCP server, e.g. https://<ngrok-subdomain>.ngrok-free.app/mcp

    • Headers: Optionally, provide a valid Centreon API token in the centreon-api-token header. This token takes precedence over the token specified through the CENTREON_API_TOKEN environment variable.

  5. Click Save to register the connector.

Once the connector is added, Le Chat will automatically discover and use the Centreon MCP tools in your conversations.

Register your MCP server using the HTTP transport with the local address and Centreon API token in headers

claude mcp add -t http centreon http://localhost:8000/mcp -H "centreon-api-token: <token>"

Replace 8000 with the value of CENTREON_MCP_PORT if you changed the default.

Don't set -H "centreon-api-token: <token>" to use token specified through the CENTREON_API_TOKEN environment variable instead.

List configured MCP servers and confirm centreon is present:

/mcp list

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