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grafana-mcp-observability

grafana-mcp-observability

MCP server for Grafana — query dashboards, alerts, and datasources via AI agents.

python Grafana MCP License CI


What is this?

grafana-mcp-observability is an MCP (Model Context Protocol) server that exposes Grafana's observability stack to AI agents. It enables AI-driven incident investigation, alert triage, and dashboard querying — without requiring manual Grafana access.

Built for platform engineers who run Grafana with Prometheus, Loki, or Tempo as their observability backend.


Related MCP server: Grafana MCP Server

Available Tools

Tool

Description

list_dashboards

List all Grafana dashboards by folder

get_dashboard

Fetch a dashboard's panel definitions and queries

query_datasource

Run a PromQL or LogQL query against a datasource

list_alerts

List active and pending alert rules

get_alert_details

Get labels, annotations, and state for a specific alert

list_datasources

List configured datasources (Prometheus, Loki, Tempo, etc.)

get_annotations

Fetch deployment or event annotations from dashboards


Quick Start

Prerequisites

  • Python 3.11+

  • Grafana instance with API access

  • Grafana Service Account token with Viewer role

Installation

git clone https://github.com/akkireddy-challa/grafana-mcp-observability
cd grafana-mcp-observability
pip install -r requirements.txt

Configuration

export GRAFANA_URL=https://grafana.example.com
export GRAFANA_TOKEN=<service-account-token>

Run

python server.py

MCP Client Config (Claude Desktop)

{
  "mcpServers": {
    "grafana": {
      "command": "python",
      "args": ["/path/to/grafana-mcp-observability/server.py"],
      "env": {
        "GRAFANA_URL": "https://grafana.example.com",
        "GRAFANA_TOKEN": "<your-token>"
      }
    }
  }
}

Security Model

  • Uses Grafana Service Account tokens — not user credentials

  • Token requires Viewer role only — no write access needed

  • No dashboard modifications or alert rule changes are possible

  • All queries are read-only

  • Token stored in environment variables, never in code


Use Cases at Telia

This pattern is used to allow AI agents to:

  • Investigate active alerts by querying Prometheus metrics in context

  • Correlate Loki log spikes with Grafana annotation events (deployments)

  • Summarize dashboard panel state for on-call briefings

  • Detect anomalous query patterns across multi-tenant Grafana orgs


Roadmap

  • get_traces — query Tempo distributed traces

  • create_annotation — mark AI-driven investigation events

  • silence_alert — create Alertmanager silences via MCP

  • Multi-org Grafana support

  • GitHub Actions workflow for CI validation


Repo

Purpose

k8s-mcp-server

Kubernetes cluster diagnostics via MCP

azure-mcp-platform

Azure resource management via MCP

phoenix-mcp-eval

LLM tracing and evaluation via MCP


License

MIT License. See LICENSE for details.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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