Supabase
Supabase’s official server lets AI create tables, query data and review project settings in your Supabase database.
Description from the maker (original English)
MCP bridge to the Tabellum database client: schema, reads, SQL drafts; writes approved in the app.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-mcpPaste 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.
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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified against the domain dudko.dev (the registry checks domain ownership)
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (0.1.2) reached the registry 12 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Supabase, MongoDB MCP Server, Elasticsearch MCP Server
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’s official server lets AI create tables, query data and review project settings in your Supabase database.
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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.
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.
tabellum@dudko.dev/tabellum-mcp — Node.js 24+~/.tabellum/mcp.json.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.
| Tool | What it does |
|---|---|
| Look around | |
list_connections | Connection names, drivers, read-only flags. No hosts, no users. |
describe_schema | Every schema of a connection with its table, view, function, procedure and sequence names. |
describe_object | Columns, indexes, constraints and the CREATE of one object. |
list_users | Users and roles with their flags, where the database lists them. |
sample_rows | Up to N rows of a table — only where the connection shares rows. |
| Query | |
run_read | Runs a statement only if the engine classifies it as a read; anything else answers needs_approval. |
explain | The estimated plan of a read; nothing runs. |
propose_write | A write, DDL or admin statement for your approval in the app (10-minute timeout). |
open_editor_tab | Open a query tab bound to a connection. |
draft_to_editor | Type SQL into a tab while you watch, without running it. |
| Compare schemas | |
compare_schemas | Diff a connection against another or a saved snapshot; with migration: true, the statements that close the gap. Nothing runs. |
save_schema_snapshot / list_schema_snapshots | Save a connection's schema to the workspace; list the snapshots. |
| Dashboards | |
list_dashboards / get_dashboard | The workspace's dashboards; one dashboard's file and panels. |
propose_dashboard | A new or changed dashboard — you see the diff and apply it. |
| Schema designs | |
list_designs / get_design | The workspace's schema designs; one design's file and objects. |
propose_design | A new or changed design — you see what is added, changed and removed. Nothing runs against a database. |
describe_feature | The 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.
/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
`
claude_desktop_config.json (Settings → Developer → Edit Config):
{
"mcpServers": { "tabellum": { "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }
~/.cursor/mcp.json or .cursor/mcp.json:
{
"mcpServers": { "tabellum": { "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }
{
"servers": { "tabellum": { "type": "stdio", "command": "npx", "args": [ "-y", "@dudko.dev/tabellum-mcp" ] } } }
propose_write and waits for your click. A label claimed by the model never overrides it.127.0.0.1 with a per-install bearer token (Settings → Agents shows it and can regenerate it).sample_rows returns rows only where you enabled sharing for that connection.~/.tabellum/mcp.json.declined: timeout.