Dashmetrics

io.github.CloudCorpRecords由 GitHub 帳號 CloudCorpRecords 發布v0.1.0更新於 Nov 3, 2026

通過你的 MCP 客戶端管理 Grafana 儀表盤、資料來源、Prometheus、Loki 和告警。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Grafana dashboards, datasources, Prometheus, Loki, and alerts from your MCP client.

已驗證STDIO僅桌面安全與監控

概覽

Dashmetrics 的本機 MCP 服務;無需登入;STDIO。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Dashmetrics,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

dashmetrics

dashmetrics gives an MCP client or a terminal read access to a Grafana instance: dashboard search and retrieval, datasource inspection, Prometheus range queries with metric and label discovery, Loki log queries with label discovery, and the provisioned alert rules and contact points. It is a clean-room rebuild of the documented core of Grafana's MCP tool surface, built from Grafana's public HTTP API documentation.

Point it at an instance with GRAFANA_URL (default http://localhost:3000) and authenticate with a service account token in GRAFANA_SERVICE_ACCOUNT_TOKEN, sent as a Bearer token. The legacy GRAFANA_API_KEY variable is accepted as a fallback when the primary variable is unset. When no token is set, every call fails with an error that names GRAFANA_SERVICE_ACCOUNT_TOKEN; when the instance is unreachable, the error names the base URL it tried.

Install

bash
npx @reneturcios/dashmetrics list_datasources

Or run the container image:

bash
docker run -i -e GRAFANA_URL -e GRAFANA_SERVICE_ACCOUNT_TOKEN ghcr.io/cloudcorprecords/dashmetrics

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

Every MCP tool is also a CLI subcommand. Tool arguments are passed as one JSON object with --json:

bash
export GRAFANA_URL=http://localhost:3000export GRAFANA_SERVICE_ACCOUNT_TOKEN=<redacted>
dashmetrics search_dashboards --json '{"query": "api", "limit": 5}'dashmetrics get_dashboard_by_uid --json '{"uid": "dash-1"}'dashmetrics list_datasourcesdashmetrics query_prometheus --json '{"datasourceUid": "prom1", "expr": "up", "start": "now-1h", "end": "now", "step": "15s"}'dashmetrics query_loki_logs --json '{"datasourceUid": "loki1", "query": "{job=\"api\"}"}'dashmetrics list_alert_rules
dashmetrics --version

Results print as JSON. Exit codes: 0 on success, 1 when an API call fails (including a missing token), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

bash
npx -y @reneturcios/dashmetrics mcp

MCP client configuration:

json
{  "mcpServers": {    "dashmetrics": {      "command": "npx",      "args": ["-y", "@reneturcios/dashmetrics", "mcp"],      "env": {        "GRAFANA_URL": "http://localhost:3000",        "GRAFANA_SERVICE_ACCOUNT_TOKEN": "your Grafana service account token"      }    }  }}

Tools

ToolInput (required in bold)What it does
search_dashboardsquery, limit, typeSearches dashboards/folders (/api/search).
get_dashboard_by_uiduidReturns one dashboard by uid.
list_datasources—Lists configured datasources.
get_datasource_by_uiduidReturns one datasource by uid.
query_prometheusdatasourceUid, expr, start, end, stepPrometheus range query via the datasource proxy.
list_prometheus_metric_namesdatasourceUid, regexLists metric names, regex-filtered.
list_prometheus_label_namesdatasourceUid, metricLists label names.
list_prometheus_label_valuesdatasourceUid, label, metricLists one label's values.
query_loki_logsdatasourceUid, query, start, end, limitLoki LogQL range query via the proxy.
list_loki_label_namesdatasourceUidLists Loki label names.
list_loki_label_valuesdatasourceUid, labelLists one Loki label's values.
list_alert_ruleslimitLists provisioned alert rules.
get_alert_rule_by_uiduidReturns one provisioned alert rule.
list_contact_pointslimitLists provisioned contact points.

Prometheus and Loki calls go through Grafana's documented datasource proxy paths (/api/datasources/proxy/uid/{uid}/...). Out of scope: incident creation/update, on-call schedules, Sift/Asserts, and admin/user management — see BUILD-REPORT.md.

Development

bash
npm installnpm run build   # tsc -> dist/npm test        # node test runner over test/*.test.ts, no network (fake fetch fixtures)npm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

來源:README.md,提交 59a7e24

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Nov 3, 2026

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