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Suse Observability MCP Server

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About Suse Observability MCP Server

Suse Observability MCP Server is an MCP server in the Analytics category.

Install

From source
git clone https://github.com/DavideRutigliano/suse-observability-mcp-server

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

SUSE Observability MCP Server

An Model Context Protocol server that provides AI agents with structured access to SUSE Observability (StackState) data for intelligent troubleshooting and root cause analysis.

Overview

This MCP server bridges AI language models with SUSE Observability's rich operational data. It exposes topology, metrics, and monitor information through a standardized interface that AI agents can use to:

  • Query infrastructure topology and component relationships
  • Retrieve real-time metrics and time-series data
  • Access monitor states and health checks
  • Perform root cause analysis during incidents

The server normalizes StackState's technical identifiers (URNs, metric queries, health states) into LLM-friendly formats, enabling AI agents to provide accurate, data-grounded diagnoses without hallucinations.

Available Tools

The server currently exposes the following tools for AI agents:

Metrics Tools

  • listMetrics: Lists bound metrics for a specific component.

    • Arguments: component_id (integer, required): The ID of the component to list bound metrics for (from topology queries)
    • Returns: A markdown table showing the bound metrics with their names, units, and query expressions
  • getMetrics: Query metrics from SUSE Observability over a range of time.

    • Arguments:
      • query (string, required): The PromQL query to execute
      • start (string, required): Start time for the query (e.g., 'now', '1h')
      • end (string, required): End time for the query (e.g., 'now', '1h')
      • step (string, optional): Query resolution step width (e.g., '15s', '1m', defaults to '1m')
    • Returns: A markdown table with the visual representation of the query result

Monitors Tools

  • listMonitors: Lists monitors for a specific component.
    • Arguments: component_id (integer, required): The ID of the component to list monitors for (from topology queries)
    • Returns: A markdown table showing monitors associated with the specified component and their current states

Topology Tools

  • getComponents: Searches for topology components using STQL filters.
    • Arguments (all support comma-separated values for multiple items):
      • names (string, optional): Component names to match exactly (comma-separated, e.g., 'checkout-service,redis-master')
      • types (string, optional): Component types (comma-separated, e.g., 'pod,service,deployment')
      • healthstates (string, optional): Health states (comma-separated, e.g., 'CRITICAL,DEVIATING'). Particularly useful to query multiple states at once
      • domains (string, optional): Cluster names to filter (comma-separated, e.g., 'prod-cluster,staging-cluster'). Domain represents the cluster name
      • namespace (string, optional): Kubernetes namespace to filter (e.g., 'default', 'kube-system')
      • with_neighbors (boolean, optional): Include connected components using withNeighborsOf
      • with_neighbors_levels (string, optional): Number of levels (1-14) or 'all' (default: 1)
      • with_neighbors_direction (string, optional): 'up', 'down', or 'both' (default: 'both')
    • Note: At least one filter must be provided. All filters use STQL IN operator for efficient multi-value queries
    • Returns: A markdown table of matching components with their IDs and identifiers

Build and Run

Prerequisites

  • Go 1.23 or later

Build

To build the server, run:

go build -o suse-observability-mcp-server cmd/server/main.go

Run

To run the server, you need to provide the SUSE Observability API details. You can run it using stdio (default) or HTTP.

Using Stdio (for MCP clients):

./suse-observability-mcp-server \
  -url "https://your-instance.suse.observability.com" \
  -token "YOUR_API_TOKEN" \
  -apitoken

Using HTTP:

./suse-observability-mcp-server \
  -http ":8080" \
  -url "https://your-instance.suse.observability.com" \
  -token "YOUR_API_TOKEN" \
  -apitoken

Using docker

A multi-stage Dockerfile is provided to build a minimal container image.

1. Build the Docker image:

docker build -t suse-observability-mcp-server .

**2. Run the container: This example runs the server in HTTP mode. The -p 8080:8080 flag maps the container's port to your local machine.

docker run -p 8080:8080 --rm suse-observability-mcp-server \
  -url "https://your-instance.suse.observability.com" \
  -token "YOUR_API_TOKEN" \
  -apitoken \
  -http ":8080"

Configuration Flags

  • -http: Address for HTTP transport (e.g., ":8080"). If empty, defaults to stdio.
  • -url: SUSE Observability API URL
  • -token: SUSE Observability API Token
  • -apitoken: Use SUSE Observability API Token instead of a Service Token (boolean)

Resources

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Suse Observability MCP Server

How do I install Suse Observability MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Suse Observability MCP Server safe to use with an AI agent?

Its trust score is 30 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Suse Observability MCP Server still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.