Overview
The official Grafana MCP Server enables AI agents to interact with your entire observability stack through the Model Context Protocol. It provides comprehensive support for dashboards, datasource queries, alerting, incident management, and more.
Features
Dashboard Management
- Query and manipulate Grafana dashboards
- Create and update dashboard panels
- Export and import dashboard configurations
- Dashboard templating and variables
Datasource Integration
- Prometheus: Query metrics, metadata, and calculate histogram percentiles (p50, p90, p95, p99)
- Loki: Run log queries and metric queries using LogQL
- Pyroscope: Query performance profiling data
- Multi-datasource support: Query multiple datasources simultaneously
Alerting & Incident Management
- Manage alert rules and notification channels
- Query alert state and history
- Grafana OnCall: Incident management and on-call scheduling
- Alert annotation and silencing
Sift Investigations
- Interactive incident investigation workflows
- Correlation of metrics, logs, and traces
- Root cause analysis assistance
Metrics & Monitoring
- Prometheus metrics exposure with
--metrics flag (SSE/HTTP only)
- Track MCP operation duration with labels for method, tool, error type, transport, and protocol version
- Self-monitoring capabilities
Use Cases
- Automated dashboard creation and updates
- Intelligent alert management and response
- Log analysis and troubleshooting
- Performance profiling and optimization
- Incident investigation and root cause analysis
- SLO monitoring and reporting
- Custom observability workflows
Technical Implementation
Built and maintained by Grafana Labs, ensuring tight integration with Grafana's APIs and features. Supports SSE and streamable HTTP transports with optional Prometheus metrics exposition.
Integration
Compatible with Claude Desktop, Cursor, VS Code, and other MCP clients. Supports Grafana Cloud and self-hosted Grafana instances with API key authentication.
