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PopNx MCPMCP servers for people who use AI · explained in plain words

dashboardbase

by dashboardbaseversion 1.0.1i★ –iRuns on your computer
Registry namecom.dashboardbase/mcp

Install

Overview

Description from the maker (original English)

Validate dashboardbase widget endpoint responses and setup files against the live 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).
  • You fill in yourself: DASHBOARDBASE_API_URL

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": {
    "dashboardbase": {
      "command": "npx",
      "args": [
        "-y",
        "@dashboardbase/mcp"
      ],
      "env": {
        "DASHBOARDBASE_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add dashboardbase --env DASHBOARDBASE_API_URL=your-value -- npx -y @dashboardbase/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "dashboardbase": {
      "command": "npx",
      "args": [
        "-y",
        "@dashboardbase/mcp"
      ],
      "env": {
        "DASHBOARDBASE_API_URL": "your-value"
      }
    }
  }
}

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": {
    "dashboardbase": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dashboardbase/mcp"
      ],
      "env": {
        "DASHBOARDBASE_API_URL": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • DASHBOARDBASE_API_URL env
    Base URL of the dashboardbase API. Defaults to https://api.dashboardbase.com.

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 against the domain dashboardbase.com (the registry checks domain ownership)

  • … 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 32461 servers in this category
  • Published to the registry more recently than 62% of the other 32461 servers in this category
  • Basic checks equal to or better than 100% of the other 32461 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 dashboardbase 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 (1.0.1) reached the registry 24 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 on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, dotnet-mcp

Alternatives

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

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

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dotnet-mcp

by Skymly

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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.

dashboardbase MCP

Stop guessing whether your dashboard JSON is right. Ask.

This is the official MCP server for dashboardbase. Add it to your AI tool and it can check a widget endpoint's response — or a whole dashboard setup file — against the contract dashboardbase actually enforces, before you ever open the app.

The dashboardbase skill teaches your agent the JSON contract. This MCP lets it check its own work. Use both: the skill gets the shape right, the MCP proves it.


What this MCP does

It gives your agent three tools:

ToolWhat it checks
validate_setup_fileA dashboardbase setup file — the JSON that provisions a whole dashboard's widgets and datasources. Reports errors and warnings with the field, line and column.
validate_widget_responseThe JSON body a widget endpoint returns, against the widget contract. Reports the path and message for each problem.
create_setup_linkUploads a finished setup file and returns a link that opens straight into its import preview — only when you ask for one. Refuses a file carrying credentials and lists the offending fields.

All three call the public dashboardbase tools API. No account, no API key, nothing to configure.

Before / after

Without it — your agent writes an endpoint, you deploy it, you wire it into dashboardbase, the widget shows an error, you go read the docs, you fix it, you deploy again.

With it — your agent writes the endpoint, validates the response, fixes the two things that were wrong, and hands you something that renders the first time.

Invalid setup file — 2 errors, 1 warning

mappings[0].type 14:9 Unknown widget type "guage" mappings[1].path 22:5 Path must start with "/"

warning mappings[2] No refreshInterval set


Install

Claude Code
claude mcp add dashboardbase -- npx -y @dashboardbase/mcp
One click
Claude Desktop

Download dashboardbase-mcp.mcpb from the latest release and drag it into Claude Desktop's extensions settings. The bundle is self-contained — you don't even need Node.

Cursor, Windsurf, and most other clients

These use the mcpServers shape. Add it to ~/.cursor/mcp.json (Cursor), ~/.codeium/windsurf/mcp_config.json (Windsurf), or your client's equivalent:

{

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

VS Code

VS Code is the exception — it uses servers rather than mcpServers, and requires an explicit type. In .vscode/mcp.json (workspace) or your user profile:

{

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

Codex CLI

Codex uses TOML. Easiest is the CLI:

codex mcp add dashboardbase -- npx -y @dashboardbase/mcp

Or by hand in ~/.codex/config.toml:

[mcp_servers.dashboardbase]

command = "npx" args = ["-y", "@dashboardbase/mcp"]

Requires Node.js 20 or newer — that's the only prerequisite, and only for the npx routes. Nothing else to configure: the validation API is public, so there's no account, key or environment variable to set.

Staying up to date

Two different things arrive by two different routes, which is worth knowing:

Better error messages arrive on their own. The server holds no schemas — it calls the live API — so as validation messages improve, you see them immediately. Nothing to update.

New tools need a package update. If a release adds a tool, you get it once the package updates *and* your client restarts the server. A running server's tool list is fixed for the session.

How you installedHow you update
npx (Claude Code, Cursor, VS Code, Windsurf, Codex)Automatic — restart your client and the next server start picks up the newest version.
Claude Desktop .mcpbPinned at install. Download the new bundle from releases and drag it in again.
Dockerdocker pull / rebuild the image.

Check what you're running:

npx -y @dashboardbase/mcp --version

If that reports an older version than the latest release, npm is serving cached registry metadata — a just-published version can take a few minutes to show up. Force it:

npx -y @dashboardbase/mcp@latest --version

Releases follow semver: new tools are a minor bump and never break existing calls, so updating is safe by default.


Using it

First, check it's connected
claude mcp list

You should see dashboardbase listed as connected. Inside a Claude Code session, /mcp shows the server and its three tools. In other clients, look for dashboardbase in the MCP or tools panel.

If it isn't there, the server never started — check that node --version is 20 or newer, and that your config file has valid JSON.

Then just ask

You don't call these tools yourself. Describe what you want and the agent decides to call them, the same way it decides to read a file. There's no special syntax and nothing to remember.

Validating something you already have:

  • _"Validate my dashboardbase setup file"_
  • _"Is .dashboardbase/revenue.json valid?"_
  • _"Check this against the dashboardbase contract"_ — then paste the JSON

Validating as part of building:

  • _"Build a KPI endpoint for MRR, then validate the response it returns"_
  • _"Add a gauge widget to my setup file and make sure it still validates"_

Debugging something broken:

  • _"My gauge widget shows an error in dashboardbase — check what my endpoint returns against the contract"_
  • _"Why is dashboardbase rejecting my setup file?"_
What it looks like

You: My revenue widget isn't rendering. Check .dashboardbase/revenue.json.

Agent: *calls validate_setup_file*

`

Invalid setup file — 2 errors

mappings[0].type 14:9 Unknown widget type "guage"

mappings[1].path 22:5 Path must start with "/"

`

Agent: Two problems — guage is a typo for gauge, and the second mapping's

path is missing its leading slash. Fixing both now.

*edits the file, calls validate_setup_file again*

`

Valid setup file — no errors.

`

That loop — validate, fix, re-validate — is the whole point. The agent closes it without you opening dashboardbase.

Or invoke it directly

In Claude Code, the server adds a slash command — type / and it's in the menu:

/mcp__dashboardbase__validate .dashboardbase/revenue.json

Leave the path off and it validates whatever you're working on, or whatever you paste next. This is the deterministic route: it doesn't depend on the agent deciding the tool is relevant.

The middle segment comes from the name you installed under. If you ran claude mcp add dashboardbase … it's /mcp__dashboardbase__validate; install it as something else and that segment changes to match.

In clients that don't support MCP prompts, just name the tool in plain language:

  • _"Use validate_setup_file on .dashboardbase/revenue.json"_
  • _"Use validate_widget_response to check this"_

Agents sometimes need the nudge the first time; after that they usually pick it up on their own.

The three tools
ToolArgumentsNotes

| validate_setup_file | content — the file text path — read from disk instead | Give one or the other. | | validate_widget_response | response — the endpoint's JSON body path — read from disk instead widgetType — optional, e.g. kpi | Inferred from the response when widgetType is omitted. | | create_setup_link | content — the file text path — read from disk instead | The link expires after 48 hours and anyone holding it can read the file, so share it directly. |

Two things worth knowing:

  • `path` only exists over stdio. A hosted HTTP deployment has no access to your disk, so the parameter isn't offered there — pass content / response instead.
  • `validate_widget_response` wants the full response body — the title / actions / data / alert envelope your endpoint actually returns, not just the inner data payload.
Configuration

Everything is optional.

VariableDefaultPurpose
DASHBOARDBASE_API_URLhttps://api.dashboardbase.comPoint at a different environment.
DASHBOARDBASE_API_KEY_unset_Sent as x-api-key. Not needed for the public API.
DASHBOARDBASE_TIMEOUT_MS15000Request timeout in milliseconds.
Running it as an HTTP server

For containers or a shared internal deployment:

npx @dashboardbase/mcp --http --port 3000

or

docker build -t dashboardbase-mcp . && docker run -p 3000:3000 dashboardbase-mcp

Serves Streamable HTTP at /mcp and a health check at /health. It's fully stateless, so it scales horizontally with no session affinity. Browser origins are refused unless you allowlist them with --allowed-origin https://example.com. The file-reading path parameter is not exposed in this mode.


What's in the repo

mcp/

├── src/ │ ├── index.ts # CLI entry — stdio by default, --http optional │ ├── server.ts # Registers the three tools │ ├── api.ts # Client for the dashboardbase Tools API │ ├── format.ts # Renders results as readable text │ ├── http.ts # Stateless Streamable HTTP handler │ └── tools/ # One file per tool ├── test/ # Unit tests, no network required ├── tools.json # OpenAPI spec for the validation API ├── server.json # MCP Registry manifest ├── manifest.json # Claude Desktop bundle manifest └── Dockerfile

How validation works

The server doesn't carry a copy of the schemas — it calls the live dashboardbase validation API. So it can't drift from what the platform accepts, and error messages get better as the API does, with nothing to upgrade on your side.

That applies to the validation rules and messages, not to the server itself — a release that adds a tool still needs a package update. See Staying up to date.

Related

Only the beginning is shown; read the rest in the repo

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