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Tabellum

by dudko-devversion 0.1.2i★ –iRuns on your computer
Registry namedev.dudko/tabellum

Install

Overview

Description from the maker (original English)

MCP bridge to the Tabellum database client: schema, reads, SQL drafts; writes approved in the app.

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: Databases & datasets

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": {
    "tabellum": {
      "command": "npx",
      "args": [
        "-y",
        "@dudko.dev/tabellum-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add tabellum -- npx -y @dudko.dev/tabellum-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "tabellum": {
      "command": "npx",
      "args": [
        "-y",
        "@dudko.dev/tabellum-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": {
    "tabellum": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@dudko.dev/tabellum-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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain dudko.dev (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 Databases & datasetsi

  • More stars than 0% of the other 953 servers in this category
  • Published to the registry more recently than 79% of the other 953 servers in this category
  • Basic checks equal to or better than 100% of the other 953 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 Tabellum 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 (0.1.2) reached the registry 12 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: Supabase, MongoDB MCP Server, Elasticsearch MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Supabase

by supabase

Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.

Computer or cloud★ 2,993Apache-2.0Updated today
Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 2 days ago
Install

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.

Tabellum — MCP setup

Let your AI assistant work with your databases through Tabellum, a desktop database client for PostgreSQL, MySQL/MariaDB, SQL Server and BigQuery. The MCP server is hosted by the running app on your machine; this package is a small stdio shim that forwards to it. Queries the assistant writes appear live in the editor, and nothing that changes data runs without your click in the app.

  • Server: tabellum
  • Transport: stdio (local process)
  • Package: @dudko.dev/tabellum-mcp — Node.js 24+
  • Auth: a per-install token the app generates; the shim reads it for you from ~/.tabellum/mcp.json.

What you can do

With the Tabellum app open, the assistant gets the same tools as the app's own agent — the app serves them, so the list follows the app version. Reads run at once; anything that writes waits for your click in the app.

ToolWhat it does
Look around
list_connectionsConnection names, drivers, read-only flags. No hosts, no users.
describe_schemaEvery schema of a connection with its table, view, function, procedure and sequence names.
describe_objectColumns, indexes, constraints and the CREATE of one object.
list_usersUsers and roles with their flags, where the database lists them.
sample_rowsUp to N rows of a table — only where the connection shares rows.
Query
run_readRuns a statement only if the engine classifies it as a read; anything else answers needs_approval.
explainThe estimated plan of a read; nothing runs.
propose_writeA write, DDL or admin statement for your approval in the app (10-minute timeout).
open_editor_tabOpen a query tab bound to a connection.
draft_to_editorType SQL into a tab while you watch, without running it.
Compare schemas
compare_schemasDiff a connection against another or a saved snapshot; with migration: true, the statements that close the gap. Nothing runs.
save_schema_snapshot / list_schema_snapshotsSave a connection's schema to the workspace; list the snapshots.
Dashboards
list_dashboards / get_dashboardThe workspace's dashboards; one dashboard's file and panels.
propose_dashboardA new or changed dashboard — you see the diff and apply it.
Schema designs
list_designs / get_designThe workspace's schema designs; one design's file and objects.
propose_designA new or changed design — you see what is added, changed and removed. Nothing runs against a database.
describe_featureThe file format and rules of designer, dashboards or schema_compare, read before proposing one.

Resources, for clients that prefer them: tabellum://connections, tabellum://schema/ , tabellum://snapshots, tabellum://dashboards, tabellum://designs. Every call is attributed in the app — a badge on the tab and a line in the agent log.


Install in Claude Code (plugin)

/plugin marketplace add dudko-dev/tabellum-mcp-setup

/plugin install tabellum@tabellum /reload-plugins

Start the Tabellum app first (macOS, Windows or Linux). The shim reads the app's local port and token from ~/.tabellum/mcp.json, written while the app runs; with the app closed every call answers "Tabellum is not running".

Prefer not to use the marketplace? Add the server directly:

`

claude mcp add tabellum -- npx -y @dudko.dev/tabellum-mcp

`


Connect from other clients

Claude Desktop

claude_desktop_config.json (Settings → Developer → Edit Config):

{

"mcpServers": { "tabellum": { "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }

Cursor

~/.cursor/mcp.json or .cursor/mcp.json:

{

"mcpServers": { "tabellum": { "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }

VS Code (GitHub Copilot / MCP) and other clients
{

"servers": { "tabellum": { "type": "stdio", "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }


Safety

  • The engine classifies, you approve. Every statement is classified by the app's parser; anything that is not a read goes through propose_write and waits for your click. A label claimed by the model never overrides it.
  • Loopback only. The app listens on 127.0.0.1 with a per-install bearer token (Settings → Agents shows it and can regenerate it).
  • Row data is opt-in per connection. sample_rows returns rows only where you enabled sharing for that connection.

Troubleshooting

  • "Tabellum is not running" — open the app, then retry.
  • Unauthorized after regenerating the token — restart the MCP server in your client so the shim re-reads ~/.tabellum/mcp.json.
  • A write seems stuck — it is waiting for approval in the app; after 10 minutes it returns declined: timeout.

Support

  • Website: https://tabellum.dudko.dev
  • Contact: siarhei@dudko.dev
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