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)
Read-only SQL queries against a PostgreSQL database.
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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.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pgport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add pgport -- npx -y @reneturcios/pgport mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pgport": {
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"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": {
"pgport": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/pgport",
"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.
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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 6, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
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 (0.1.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker 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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pgport lets an agent — or you, at a terminal — ask a PostgreSQL database questions without ever being able to change it. It accepts a connection string, runs a single read-only query, and hands back the rows. Anything that is not one plain SELECT or WITH ... SELECT statement is refused before it leaves the process, and the statement that does run executes inside an explicit read-only transaction.
There is no bundled database driver. Under the hood pgport shells out to the psql command-line client, so a machine that wants live answers needs psql on its PATH. Without it — or without a connection string — the server still starts and lists its tool; only the query itself reports the problem.
npx @reneturcios/pgport query postgres://user@localhost:5432/mydb "SELECT 1"
Or run the container image:
docker run -i ghcr.io/cloudcorprecords/pgport
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
# Run one read-only query; rows print as JSON
pgport query postgres://alice@localhost/shop "SELECT id, name FROM products ORDER BY id"
pgport schemas postgres://alice@localhost/shop
pgport mcp postgres://alice@localhost/shop
pgport --version
Exit codes: 0 on success, 1 when the query, the connection string, or psql itself fails (the error says which), 2 for usage errors.
The connection string is a normal PostgreSQL URL: postgres:// or postgresql://, with host, optional port (default 5432), database name from the path, and optional user and password in the userinfo. For the mcp command the string can be left off the command line and supplied through the PGPORT_DATABASE_URL environment variable instead (plain DATABASE_URL works too).
A query is accepted only if all of these hold:
SELECT or WITH.INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, TRUNCATE, GRANT, REVOKE, COPY, or VACUUM appears as a whole word outside a string literal. Single-quoted literals are blanked out before scanning, so SELECT 'delete me' is a perfectly good query; a column literally named update is not — the guard would rather refuse an odd name than be talked around.Accepted queries run as BEGIN TRANSACTION READ ONLY; ; COMMIT; through psql -v ON_ERROR_STOP=1 --csv, and the CSV output is parsed into row objects. Values come back as the strings psql rendered.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/pgport mcp postgres://alice@localhost/shop
MCP client configuration:
{
"mcpServers": { "pgport": { "command": "npx", "args": ["-y", "@reneturcios/pgport", "mcp"], "env": { "PGPORT_DATABASE_URL": "postgres://alice@localhost/shop" } } } }
| Tool | Input | What it returns |
|---|---|---|
query | sql (string, required) — one read-only SQL statement | The result rows as a JSON array of objects keyed by column name. Guard violations, a missing connection, a missing psql, and database errors all come back as tool errors — never as made-up rows. |
The server deliberately knows nothing about your schema at the MCP layer: ask the database itself, for example SELECT table_name FROM information_schema.tables, or use the CLI schemas command, which groups information_schema.columns rows into a per-table column list.
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network, no live database npm run dev # run the CLI from source via tsx
The core logic lives behind an injectable executor interface, which is what the test suite drives: connection-string parsing, the guard, pass-through querying, error propagation, and schema grouping are all covered with a fake executor.
MIT — see LICENSE.