MCP Grafana Server
v0.17.1Grafana Labs
Official Grafana Labs MCP server (grafana/mcp-grafana, Apache-2.0, Go) with 40+ tools: query metrics/logs/traces across Prometheus, Loki, and many other datasources, search and update dashboards, manage alert rules, and drive Incident, Sift, and OnCall. Supports stdio, SSE, and streamable HTTP with service-account token auth, category-level tool enablement, and a --disable-write read-only mode; also powers Grafana Assistant, with a hosted Grafana Cloud MCP endpoint in preview.
Trust Vector Analysis
Dimension Breakdown
๐Performance & Reliability+
Review of PromQL query tools and underlying Grafana datasource API maturity
Log query tool review against Loki API capabilities
Feature inventory of datasource-specific toolsets in the repository
Review of dashboard read/write tool design and Grafana API versioning behavior
Error-path and observability feature review
๐ก๏ธSecurity+
Authentication mechanism review across self-hosted and Grafana Cloud modes
Capability analysis of write-capable tools and available restriction flags
Credential storage and scoping analysis for the stdio/local deployment model
Visibility risk assessment of aggregated observability access
Audit and traceability review of server-side and Grafana-side logging
๐Privacy & Compliance+
Data flow analysis of query tool outputs
Log privacy assessment; no built-in scrubbing identified
Deployment model and data residency review
Data sharing pathway analysis
๐๏ธTrust & Transparency+
Documentation completeness review
Source code and license review
Logging and traceability assessment
Maintainer reputation and project health analysis
โ๏ธOperational Excellence+
Setup complexity assessment across deployment options
Feature completeness assessment against observability workflow needs
Release cadence and commit activity analysis
Deployment and integration option review
Implementation and latency characteristics review
- +Official Grafana Labs server, Apache-2.0, ~3.2k stars, rapid releases (v0.17.1 on 2026-07-07)
- +40+ tools spanning Prometheus, Loki, and 9 more datasource types plus Incident, Sift, and OnCall
- +Category-selectable tool enablement and --disable-write read-only mode limit blast radius
- +Three transports (stdio, SSE, streamable HTTP) with TLS, Helm chart, and Kubernetes token rotation
- +Self-hostable end to end: observability data need never transit vendor infrastructure
- +Strong server-side observability: Prometheus metrics, OpenTelemetry traces, health checks
- +Also embedded in Grafana Cloud as the tool layer for Grafana Assistant (OAuth 2.1 hosted preview)
- !Metric, log, and trace data flows into the LLM context and may contain secrets or PII
- !Default write access to dashboards, alert rules, and incidents unless --disable-write is set
- !Long-lived service-account token in client config for local setups (no OAuth outside Grafana Cloud)
- !Agent can map internal infrastructure topology, hostnames, and alert thresholds
- !No built-in redaction of sensitive values returned by log and trace queries
- !Requires Grafana 9.0+; some datasource tools unavailable on older versions
- !40+ tools can crowd the context window unless categories are pruned
Use Case Ratings
code generation
Good for generating dashboards-as-code, alert rules, and PromQL/LogQL queries
customer support
Useful for investigating customer-reported latency or error spikes via metrics and logs
content creation
Limited applicability beyond dashboard and report generation
data analysis
Excellent for cross-datasource observability analytics, trend detection, and incident forensics
research assistant
Useful for researching system behavior and performance patterns
legal compliance
Risk of exposing infrastructure details and unscrubbed log data to the LLM
healthcare
PHI may leak through application logs and traces; requires strict log hygiene
financial analysis
Moderate risk when monitoring financial infrastructure; self-hosting helps
education
Excellent for teaching observability, PromQL, LogQL, and alerting practices
creative writing
Low relevance to creative writing workflows