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Grafana Context MCP

Grafana Context MCP

by tamalkarm
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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    • grafana-mcp-observability

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    • Grafana MCP Server

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4.1/5.0

    Scored across 7 tools

    Disambiguation5/5

    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.

    Naming Consistency5/5

    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.

    Tool Count5/5

    Seven tools is a well-scoped size for a Grafana context server. Each tool covers a distinct, necessary operation without bloat or redundancy.

    Completeness5/5

    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.

    Resources