mcpField
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dashmetrics

dashmetrics

Local
github.com/CloudCorpRecordsData & Analytics0Updated 2w ago

About dashmetrics

dashmetrics is a read-oriented Grafana MCP server and CLI for operators who need to inspect dashboards, datasources, metrics, logs, and provisioned alerts. It uses Grafana’s documented HTTP API and datasource proxy paths.

Key features

  1. 01Search and retrieve dashboards
  2. 02Inspect configured datasources
  3. 03Run Prometheus range queries
  4. 04Query Loki logs
  5. 05Browse provisioned alerts and contacts

Use cases

  1. 01Find a dashboard related to a service
  2. 02Inspect metrics and labels in Prometheus
  3. 03Query logs and labels in Loki
  4. 04Review provisioned alert rules and contact points

MCP support

It runs as a stdio MCP server and exposes Grafana dashboard, datasource, Prometheus, Loki, and alert operations as tools.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"cloudcorprecords-dashmetrics": {
"command": "npx",
"args": [
"-y",
"@reneturcios/dashmetrics"
]
}
}
}
Run commandnpx -y @reneturcios/dashmetrics

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@reneturcios/dashmetrics0.1.0
ocighcr.io/cloudcorprecords/dashmetrics:0.1.0

Tools

14

Saved tool list · updated 1w ago

ParameterTypeRequiredDescription
typestringNoOptional Grafana search result type filter, such as 'dash-db' for dashboards or 'dash-folder' for folders.
limitnumberNoOptional maximum number of search results to return (default 100, clamped to 1-5000).
querystringNoOptional title text to search for; dashboards and folders with a matching title are returned.

Details

From the project 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

npx @reneturcios/dashmetrics list_datasources

Or run the container image:

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:

export GRAFANA_URL=http://localhost:3000
export GRAFANA_SERVICE_ACCOUNT_TOKEN=<redacted>

dashmetrics search_dashboards --json '{"query": "api", "limit": 5}'
dashmetrics get_dashboard_by_uid --json '{"uid": "dash-1"}'
dashmetrics list_datasources
dashmetrics 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:

npx -y @reneturcios/dashmetrics mcp

MCP client configuration:

{
  "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

npm install
npm 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.

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