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DimensionGrafana MCP ServerQuery and manage Grafana dashboards, alerts, and observability data via MCPBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS72 / 100 · B75 / 100 · B
Reliability11 / 2010 / 20
Security and permissions14 / 2016 / 20
Maintenance16 / 2018 / 20
Documentation18 / 2017 / 20
Setup experience13 / 2014 / 20
Best for
  • Teams running a Grafana instance (self-hosted or Grafana Cloud) who want an AI assistant to help with observability workflows
  • DevOps/SRE engineers who want to automate querying alerts, logs, and metrics as part of incident response
  • Scenarios where monitoring data access needs to be exposed to an AI assistant safely in read-only mode
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Teams with no Grafana ecosystem in place (no Prometheus/Loki/etc. datasources configured)
  • Fully offline or network-isolated environments (the remote endpoint and most datasource queries require network access)
  • Situations where write access must be tightly scoped but the team is unwilling to configure fine-grained RBAC (the built-in Editor role, while convenient, is broad)
  • Users needing to write to upstream databases (read-only)
  • Users requiring direct access to closed datasets (e.g., COSMIC is not directly integrated)
  • Users expecting all advanced features without API keys
Required permissions
  • GRAFANA_URL (required): the target Grafana instance address
  • GRAFANA_SERVICE_ACCOUNT_TOKEN or GRAFANA_USERNAME/GRAFANA_PASSWORD: authentication credentials (the service account token is sensitive)
  • Grafana RBAC permissions matching the enabled tool categories, e.g. dashboards:read/write, datasources:query, alert.rules:read/write, annotations:read/write, or the built-in Editor role as a simpler but broader alternative
  • Grafana Incident and Sift tools use basic roles (Viewer for reads, Editor for writes) rather than fine-grained RBAC
  • Optional GRAFANA_ORG_ID or X-Grafana-Org-Id header for multi-organization support
  • Optional GRAFANA_EXTRA_HEADERS and GRAFANA_FORWARD_HEADERS to add or forward HTTP headers (e.g. Cookie) to the Grafana API
  • Requires internet access to query public biomedical APIs
  • Optional API keys (NCBI, Semantic Scholar, OpenFDA, etc.) to improve rate limits or unlock features
  • Local read/write access for skills, cache, and local study data (e.g., `~/.local/share/biomcp`)
Risks and side effects
  • Service account tokens, passwords, and other credentials are supplied via environment variables or headers and must be safeguarded from leakage
  • Write tools (update_dashboard, alerting_manage_rules, create_incident, create_annotation, create_snapshot, etc.) can directly modify or delete dashboards, alert rules, and incident data — misuse can damage production configuration
  • Using the built-in Editor role for convenience grants broad access beyond least-privilege
  • Fetching full dashboard JSON (get_dashboard_by_uid, update_dashboard) can consume significant context window space and may expose sensitive queries or variables embedded in the dashboard
  • GRAFANA_FORWARD_HEADERS forwarding of headers like Cookie, if misconfigured, risks leaking session information
  • The hosted remote endpoint https://mcp.grafana.com/mcp is a third-party managed service — using it to reach a Grafana Cloud instance routes requests through that service
  • SSE/streamable-http transport misconfiguration (e.g. --allowed-hosts or --allowed-origins set to * while exposed on an untrusted network) carries DNS-rebinding-style risk
  • Upstream API rate limits may affect performance
  • Some data sources (e.g., KEGG) have licensing terms that restrict non-academic use
  • Features requiring API keys (e.g., OncoKB) may be incomplete without them
  • Local binary installations need regular updates for compatibility
Supported clientsClaude Desktop, CursorClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools9211