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Dashcheck

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/dashcheck

Install

Overview

Description from the maker (original English)

Validate dashboard setup files and widget endpoint responses against the dashboardbase contract.

PopNx MCP’s three pillars

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

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?

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "dashcheck": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dashcheck",
        "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": {
    "dashcheck": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/dashcheck",
        "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 32403 servers in this category
  • Published to the registry more recently than 92% of the other 32403 servers in this category
  • Basic checks equal to or better than 100% of the other 32403 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 Dashcheck 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 2 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, LickityClick

Alternatives

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

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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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LickityClick

by lickity.click

Create, edit and track LickityClick short links, campaigns and click stats from your AI assistant.

Computer or cloudUpdated today
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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.

dashcheck

Check a dashboard before you ship it. dashcheck is a small client for the dashboardbase validation service: hand it a setup file and it reports any schema, layout, binding or contents errors; hand it the JSON a widget endpoint actually returned and it checks that body against the widget contract for its type; and when a setup is ready to share, it can mint a read-only link to it that expires after 48 hours.

Setup content can be passed inline as a string or pointed at with a local file path — in the path case the file is read on your machine and its text is what gets sent. Whatever the service returns comes back exactly as it sent it: nothing is trimmed, renamed or summarised on the way through. That includes refusals: if a setup file carries credentials, the service itself refuses to create a link and lists the offending fields, and that refusal body passes through like any other response.

Configuration

Three environment variables control the client:

  • DASHBOARDBASE_API_URL (optional) — API base URL. Defaults to https://api.dashboardbase.com.
  • DASHBOARDBASE_API_KEY (optional) — when set, it is sent on every request as the x-api-key header. Leaving it unset is not an error: the validation endpoints are usable without a key.
  • DASHBOARDBASE_TIMEOUT_MS (optional) — request timeout in milliseconds, enforced with an abort controller. Defaults to 15000; a timeout counts as a fetch failure.

Tools

  • validate_setup_file — validate a dashboardbase setup file (JSON) and return any schema, layout, binding, or contents errors. Takes content (the setup file contents) or path (a local path to a setup file); one of them is required.
  • validate_widget_response — validate a widget endpoint's JSON response against the dashboardbase widget contract for its type (kpi, timeseries, bar, table or text). Takes response (the JSON body the endpoint returned) or path (a local path to a JSON file holding the response); one of them is required. widgetType is optional and overrides the type field in the response envelope. A response value that parses as JSON is sent as the parsed value; otherwise it is sent as the raw string.
  • create_setup_link — create a shareable, read-only setup link for a setup file; the link expires after 48 hours. Takes content or path, as above.

The one-of rule is enforced locally before any request: one of content or path is required (for the widget-response tool, one of response or path is required). A local file that cannot be read fails with cannot read file: . An upstream non-2xx reply fails with dashboardbase error: HTTP and an unreachable API (including a timeout) with dashboardbase unreachable.

Endpoint provenance

The original record pins the three tools, their argument tables, the three environment variables, the 48-hour link behaviour and the credential-refusal behaviour, but it does not publish the upstream HTTP paths. The three paths below are reconstructions, labelled as such:

  • POST /validate/setup-file with JSON body {"content": "..."} — reconstruction (used by validate_setup_file).
  • POST /validate/widget-response with JSON body {"response": ..., "widgetType": "..."} (the widgetType key is omitted when not given) — reconstruction (used by validate_widget_response).
  • POST /setup-links with JSON body {"content": "..."} — reconstruction (used by create_setup_link).

CLI

Each tool is a subcommand taking one JSON argument string:

npx @reneturcios/dashcheck validate_setup_file '{"path":"./setup.json"}'

npx @reneturcios/dashcheck validate_widget_response '{"response":"{\"type\":\"kpi\",\"value\":42}","widgetType":"kpi"}' npx @reneturcios/dashcheck create_setup_link '{"content":"{\"widgets\":[]}"}' npx @reneturcios/dashcheck --version

Output is the tool's result text (the upstream body on success). Exit codes: 0 on success, 1 on a runtime error (including a validation, file-read or upstream failure), 2 on a usage error.

MCP server

npx -y @reneturcios/dashcheck mcp

MCP client config (the key is optional; provide it through the client's environment when you have one):

{

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

Docker

docker run -i ghcr.io/cloudcorprecords/dashcheck

docker run --rm ghcr.io/cloudcorprecords/dashcheck validate_setup_file '{"path":"./setup.json"}'

Development

npm install

npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch and injected file reader only, no network) npm run dev # run the CLI from source

License

MIT — Copyright (c) 2026 Rene Turcios

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