Grafana Observability

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

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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.

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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

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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>"
      }
    }
  }
}

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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

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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

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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

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Related Projects

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

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License

MIT License. See LICENSE for details.