Grafana Context MCP
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Alternatives to Grafana Context MCP
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Related Servers
- AlicenseAqualityCmaintenanceEnables AI assistants to query Grafana datasources (Prometheus/Loki metrics and SQL databases like ClickHouse/Postgres/MySQL) and search or inspect dashboards through natural language, using read-only access to Grafana's API.6MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to query Grafana dashboards, alerts, and datasources for observability insights and incident investigation.MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to query Prometheus metrics, monitor alerts, and analyze system health through read-only access to your Prometheus server with built-in query safety and optional AI-powered metric analysis.MIT
- AlicenseBqualityCmaintenanceEnables AI assistants to interact with Grafana dashboards, datasources, alerts, incidents, and monitoring data through 43 comprehensive tools. Supports querying Prometheus metrics, Loki logs, managing incidents, and dashboard operations with full authentication support.43705 npm3MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to read Grafana dashboards, alert rules, and query datasources (Prometheus, Loki, etc.) through MCP tools, integrating Grafana monitoring into the IDE.MIT
- AlicenseNot gradedqualityDmaintenanceEnables MCP-compatible agents to interact with Grafana instances for searching, creating, and updating dashboards, exploring logs via Loki, querying datasources, managing alerts, incidents, and on-call shifts, and accessing observability data.8Apache 2.0
TDQS
Scored across 7 tools
Each tool has a clear and distinct responsibility: listing vs. getting vs. health-checking datasources, searching vs. getting vs. analyzing dashboards, and running queries. There is no meaningful overlap between tools that would cause an agent to select the wrong one.
All tools follow the same verb_noun snake_case pattern (e.g., list_datasources, get_dashboard, analyze_dashboard, query_datasource). Naming is predictable and makes the toolset easy to navigate.
Seven tools is a well-scoped size for a Grafana context server. Each tool covers a distinct, necessary operation without bloat or redundancy.
The toolset covers the full read-only context workflow: discovering datasources, checking their health, finding dashboards, retrieving dashboard JSON, understanding dashboard structure, and querying datasources. For the stated purpose of providing Grafana context, there are no significant gaps.