Grafana
Provides intelligent analysis and monitoring capabilities for Grafana dashboards through an MCP server that connects AI assistants to Grafana instances via API integration. The implementation features advanced data management with chunking, caching, and session handling to efficiently process large monitoring datasets, plus specialized services for conversation management and monitoring analysis that enable natural language querying of metrics and dashboard data. Built with TypeScript and designed for DevOps and monitoring workflows, it's particularly valuable for users who want to analyze system performance, troubleshoot issues, or generate insights from Grafana dashboards through conversational AI interfaces without manually navigating complex monitoring UIs.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/sailingcoder/grafana-mcp-analyzer
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Grafana from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.