Faucet

Name: Faucet
Author: faucetdb

by faucetdbversion 0.1.15i★ –iRuns on your computer

Registry nameio.github.faucetdb/faucet

Install

Overview

Description from the maker (original English)

SQL database to MCP tools and REST API: PostgreSQL, MySQL, SQL Server, Oracle, SQLite, Snowflake.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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, Streamable HTTP
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).
You fill in yourself: FAUCET_DATA_DIR

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "faucet": {
      "command": "npx",
      "args": [
        "-y",
        "@faucetdb/faucet",
        "mcp"
      ],
      "env": {
        "FAUCET_DATA_DIR": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add faucet --env FAUCET_DATA_DIR=your-value -- npx -y @faucetdb/faucet 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": {
    "faucet": {
      "command": "npx",
      "args": [
        "-y",
        "@faucetdb/faucet",
        "mcp"
      ],
      "env": {
        "FAUCET_DATA_DIR": "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": {
    "faucet": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@faucetdb/faucet",
        "mcp"
      ],
      "env": {
        "FAUCET_DATA_DIR": "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

FAUCET_DATA_DIR env
Faucet data directory holding the databases you connected with `faucet serve` or `faucet db add`. Default: ~/.faucet. stdio mode runs with local admin rights.

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 with the GitHub account faucetdb, 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 Databases & datasetsi

More stars than 0% of the other 957 servers in this category
Published to the registry more recently than 67% of the other 957 servers in this category
Basic checks equal to or better than 100% of the other 957 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 Faucet 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 (0.1.15) reached the registry 28 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: 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 yesterday

Install

MongoDB MCP Server

by mongodb-js

MongoDB Model Context Protocol Server

Runs on your computer★ 1,157Apache-2.0Updated 3 days ago

Install

Elasticsearch MCP Server

by cr7258

MCP server for interacting with Elasticsearch

Runs on your computer★ 315Apache-2.0Updated 14 months 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.

Faucet: REST API and MCP server for any SQL database

Turn any SQL database into a secure REST API and MCP server. One binary. One command.

Faucet is an open-source (MIT) single Go binary that turns PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, Snowflake or SQLite into a REST API and an MCP server for AI agents, with role-based access control (RBAC), OpenAPI 3.1 and a built-in admin UI.

Endpoints, OpenAPI specs and MCP tools are generated from your database schema at runtime. No code generation, no ORM, no boilerplate.

Website · Docs · Getting Started · Docker · MCP Server · Issues

What is Faucet?

Faucet is a database-to-REST-API gateway — a lightweight, self-hosted server that connects to your SQL databases, introspects the schema, and generates a full CRUD REST API with authentication, role-based access control (RBAC), and OpenAPI documentation. It also exposes an MCP server at /mcp so AI agents and AI app builders (Claude, ChatGPT, Cursor, VS Code, Windsurf, Base44, Replit) can query your data through the same roles and API keys.

Think of it as an open-source alternative to DreamFactory, PostgREST, or Hasura, with multi-database support, a built-in admin UI, and native AI agent integration, all in a single binary. See how it compares.

Use Cases

Instant backend for apps — Skip writing CRUD APIs by hand. Point Faucet at your database and start building your frontend.
AI agent data access — Give Claude, GPT, or any MCP-compatible agent governed, read/write access to your databases.
Internal tools & dashboards — Generate APIs for internal databases without modifying existing infrastructure.
Legacy database modernization — Put a REST API in front of SQL Server 2012, MySQL 5.7, or PostgreSQL 9.6 without code changes.
Multi-database aggregation — Connect PostgreSQL, MySQL, SQL Server, Oracle, and more to a single Faucet instance and query them all through one API.
Rapid prototyping — Go from empty database to working API in under 60 seconds.

How It Works

┌──────────────┐       ┌───────────────────────────────────────┐       ┌──────────────┐

│ PostgreSQL │ │ F A U C E T │ │ REST API │ │ MySQL │──────▶│ │──────▶│ /api/v1/* │ │ MariaDB │ SQL │ ┌─────────┐ ┌──────┐ ┌───────────┐ │ ├──────────────┤ │ SQL Server │◀──────│ │ Schema │ │ RBAC │ │ OpenAPI │ │──────▶│ OpenAPI 3.1 │ │ Oracle │ │ │ Intro- │ │ Auth │ │ Generator │ │ │ /openapi.json│ │ Snowflake │ │ │ spection│ │ │ │ │ │ ├──────────────┤ │ SQLite │ │ └─────────┘ └──────┘ └───────────┘ │──────▶│ MCP Server │ └──────────────┘ │ │ │ (AI Agents) │ │ ┌──────────────────────────────────┐ │ ├──────────────┤ │ │ Embedded Admin UI (Preact) │ │──────▶│ Admin UI │ │ └──────────────────────────────────┘ │ │ :8080/ │ └───────────────────────────────────────┘ └──────────────┘

Connect any SQL database → Faucet introspects the schema → Instantly generates REST endpoints, OpenAPI docs, MCP tools, and an Admin UI — all secured with API keys, JWT auth, and role-based permissions.

Screenshots

Connect a database with host, port, user and password. Faucet tests it before saving and tells you what to fix.

Browse tables, columns, keys and data, and lock your API contract against breaking schema changes.

Build requests with filters and pagination, then copy them as curl, JavaScript or Python.

Copy-ready MCP setup for Claude Code, Claude Desktop, Cursor, VS Code, Windsurf and ChatGPT.

See the Admin UI guide for a tour of every page.

Key Features

API Generation

Full CRUD REST API — GET, POST, PUT, PATCH, DELETE with filtering, ordering, and pagination
Schema introspection — Discovers tables, columns, types, and constraints at runtime
Schema DDL — Create, alter, and drop tables via API
Stored procedure calls — Execute stored procedures with typed parameters
Human-readable query filters — (age > 21) AND (status = 'active')
OpenAPI 3.1 spec — Auto-generated from live database schema at /openapi.json

Security & Access Control

API key authentication — SHA-256 hashed keys with per-key role assignment
JWT authentication — HMAC-SHA256 signed tokens for admin sessions
Role-based access control (RBAC) — Per-table verb permissions (GET, POST, PUT, PATCH, DELETE)
Row-level security filters — Filter expressions are stored per access rule and returned by the API; applying them to queries is planned and not enforced yet
Schema contract locking — Lock your API contract against silent breaking schema changes with three modes (none, auto, strict), drift detection, and CLI management

AI Agent Integration (MCP)

Built-in MCP server — 8 tools + 2 resources for Model Context Protocol, served at /mcp on the same port as the REST API
Works with your AI tools — Copy-ready configs for Claude Code, Claude Desktop, Cursor, VS Code and Windsurf; ChatGPT via a Custom GPT Action on /openapi.json
Streamable HTTP + stdio transport — API-key authenticated over the network, or stdio on your own machine
Governed AI queries — AI agents respect the same RBAC rules as API clients

Developer Experience

Single binary — Zero external dependencies, cross-platform (Linux, macOS, Windows)
Embedded admin UI — connect databases with host, port, user and password (no connection strings), test before saving, browse schemas and data, build roles and keys, and copy ready-made MCP configs for Claude, Cursor, VS Code and more. Works offline; light and dark themes
SQLite config store — All configuration stored locally, no external database required
npm + Homebrew + Docker — Install in seconds on any platform (npx @faucetdb/faucet)
Health endpoints — /healthz and /readyz for Kubernetes-style probes

Supported Databases

Database	Versions	Cloud Variants	Tutorial
PostgreSQL	9.6 – 17	Amazon RDS, Aurora, Supabase, Neon, Azure Database	Guide
MySQL	5.7 – 9.x	Amazon RDS, Aurora MySQL, PlanetScale, Azure MySQL	Guide
MariaDB	10.2 – 11.x	Via MySQL driver	MySQL guide
SQL Server	2012 – 2022	Azure SQL Database, Amazon RDS	Guide
Oracle	12c – 26ai	Oracle Cloud (OCI), Amazon RDS, Azure	Guide
Snowflake	Current	AWS, Azure, GCP	Guide
SQLite	3.35+	Local file, in-memory	Guide

Connector details, SSL options and driver notes: Database connectors.

60-Second Quickstart

Install

npm (Node.js 18+):

npx @faucetdb/faucet serve

Homebrew (macOS / Linux):

brew install faucetdb/tap/faucet

Docker:

docker run -p 8080:8080 -v faucet-data:/data faucetdb/faucet

Go:

go install github.com/faucetdb/faucet/cmd/faucet@latest

Binary download: See GitHub Releases for pre-built binaries (Linux, macOS, Windows).

Run

faucet serve

Open http://localhost:8080. The setup wizard creates your admin account and connects your first database: pick the engine, enter host, port, username and password, click Test connection, and save. Every table gets REST endpoints at /api/v1/ /_table/ and MCP tools right away. Then create a role on the Roles page and an API key on the API keys page, which hands you a ready-to-run curl command and an MCP setup command that already contain the new key.

Prefer the terminal? The same steps with the CLI:

# Create an admin account and add a database (no connection string needed)

faucet admin create --email admin@example.com --password changeme123 faucet db add --name mydb --driver postgres \ --host localhost --user app --password 's3cret@!' --database mydb

Create a role that can read every database, then an API key bound to it

faucet role create --name default --verbs GET faucet key create --role default

Start the server (it loads databases on startup), then query your data

faucet serve curl -H "X-API-Key: faucet_YOUR_KEY_HERE" "http://localhost:8080/api/v1/mydb/_table/users?limit=10"

--dsn still works if you already have a connection string. A running server picks up databases added through the admin UI or API immediately; databases added with faucet db add are loaded the next time the server starts.

MCP Server for AI Agents

Faucet includes a built-in Model Context Protocol (MCP) serv

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

Faucet

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Databases & datasetsi

Common questions

Alternatives

Supabase

MongoDB MCP Server

Elasticsearch MCP Server

README from the maker

What is Faucet?

Use Cases

How It Works

Screenshots

Key Features

API Generation

Security & Access Control

AI Agent Integration (MCP)

Developer Experience

Supported Databases

60-Second Quickstart

Install

Run

Create a role that can read every database, then an API key bound to it

Start the server (it loads databases on startup), then query your data

MCP Server for AI Agents