Dashmetrics

Name: Dashmetrics
Author: CloudCorpRecords

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.CloudCorpRecords/dashmetrics

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "dashmetrics": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dashmetrics",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add dashmetrics -- npx -y @reneturcios/dashmetrics mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "dashmetrics": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dashmetrics",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "dashmetrics": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dashmetrics",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32435 servers in this category
Published to the registry more recently than 87% of the other 32435 servers in this category
Basic checks equal to or better than 100% of the other 32435 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Dashmetrics safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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=

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

Tool	Input (required in bold)	What it does
`search_dashboards`	`query`, `limit`, `type`	Searches dashboards/folders (`/api/search`).
`get_dashboard_by_uid`	`uid`	Returns one dashboard by uid.
`list_datasources`	—	Lists configured datasources.
`get_datasource_by_uid`	`uid`	Returns one datasource by uid.
`query_prometheus`	`datasourceUid`, `expr`, `start`, `end`, `step`	Prometheus range query via the datasource proxy.
`list_prometheus_metric_names`	`datasourceUid`, `regex`	Lists metric names, regex-filtered.
`list_prometheus_label_names`	`datasourceUid`, `metric`	Lists label names.
`list_prometheus_label_values`	`datasourceUid`, `label`, `metric`	Lists one label's values.
`query_loki_logs`	`datasourceUid`, `query`, `start`, `end`, `limit`	Loki LogQL range query via the proxy.
`list_loki_label_names`	`datasourceUid`	Lists Loki label names.
`list_loki_label_values`	`datasourceUid`, `label`	Lists one Loki label's values.
`list_alert_rules`	`limit`	Lists provisioned alert rules.
`get_alert_rule_by_uid`	`uid`	Returns one provisioned alert rule.
`list_contact_points`	`limit`	Lists 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.

Dashmetrics

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Apify MCP Server

README from the maker

dashmetrics

Install

CLI

MCP server

Tools

Development

License