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 server for Databricks, BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
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.
DSN, DB_TYPE, DB_HOST, DB_PORT, DB_USER, DB_PASSWORD, DB_NAME, TRANSPORT, PORT, ID, SSH_HOST, SSH_PORT, SSH_USER, SSH_PASSWORD, SSH_KEY, SSH_PASSPHRASEValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"dbhub-analytics": {
"command": "npx",
"args": [
"-y",
"dbhub-analytics"
],
"env": {
"DSN": "your-value",
"DB_TYPE": "your-value",
"DB_HOST": "your-value",
"DB_PORT": "your-value",
"DB_USER": "your-value",
"DB_PASSWORD": "your-value",
"DB_NAME": "your-value",
"TRANSPORT": "your-value",
"PORT": "your-value",
"ID": "your-value",
"SSH_HOST": "your-value",
"SSH_PORT": "your-value",
"SSH_USER": "your-value",
"SSH_PASSWORD": "your-value",
"SSH_KEY": "your-value",
"SSH_PASSPHRASE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add dbhub-analytics --env DSN=your-value --env DB_TYPE=your-value --env DB_HOST=your-value --env DB_PORT=your-value --env DB_USER=your-value --env DB_PASSWORD=your-value --env DB_NAME=your-value --env TRANSPORT=your-value --env PORT=your-value --env ID=your-value --env SSH_HOST=your-value --env SSH_PORT=your-value --env SSH_USER=your-value --env SSH_PASSWORD=your-value --env SSH_KEY=your-value --env SSH_PASSPHRASE=your-value -- npx -y dbhub-analyticsFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dbhub-analytics": {
"command": "npx",
"args": [
"-y",
"dbhub-analytics"
],
"env": {
"DSN": "your-value",
"DB_TYPE": "your-value",
"DB_HOST": "your-value",
"DB_PORT": "your-value",
"DB_USER": "your-value",
"DB_PASSWORD": "your-value",
"DB_NAME": "your-value",
"TRANSPORT": "your-value",
"PORT": "your-value",
"ID": "your-value",
"SSH_HOST": "your-value",
"SSH_PORT": "your-value",
"SSH_USER": "your-value",
"SSH_PASSWORD": "your-value",
"SSH_KEY": "your-value",
"SSH_PASSPHRASE": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dbhub-analytics": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dbhub-analytics"
],
"env": {
"DSN": "your-value",
"DB_TYPE": "your-value",
"DB_HOST": "your-value",
"DB_PORT": "your-value",
"DB_USER": "your-value",
"DB_PASSWORD": "your-value",
"DB_NAME": "your-value",
"TRANSPORT": "your-value",
"PORT": "your-value",
"ID": "your-value",
"SSH_HOST": "your-value",
"SSH_PORT": "your-value",
"SSH_USER": "your-value",
"SSH_PASSWORD": "your-value",
"SSH_KEY": "your-value",
"SSH_PASSPHRASE": "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.
DB_TYPE envDB_HOST envDB_PORT envDB_USER envDB_NAME envTRANSPORT envPORT envID envSSH_HOST envSSH_PORT envSSH_USER envSSH_KEY envThese 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 with the GitHub account amansingh63, 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.
You need to fill in: DSN, DB_PASSWORD, SSH_PASSWORD, SSH_PASSPHRASE
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 (0.2.0) reached the registry 7 months 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.
MongoDB Model Context Protocol Server
MCP server for interacting with Elasticsearch
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.
DBHub Analytics Universal Database MCP Server for Databricks, Google BigQuery, PostgreSQL, MySQL, SQL Server, SQLite, MariaDB
DBHub Analytics is an open-source MCP (Model Context Protocol) server that connects AI assistants like Claude Desktop, Claude Code, Cursor, VS Code Copilot, and other MCP-compatible clients to your databases. Query Databricks SQL warehouses, Google BigQuery datasets, PostgreSQL, MySQL, and more — all through a single unified interface.
+------------------+ +--------------+ +------------------+
| | | | | | | Claude Desktop +--->+ +--->+ PostgreSQL | | | | | | | | Claude Code +--->+ +--->+ SQL Server | | | | DBHub | | | | Cursor +--->+ Analytics +--->+ SQLite | | | | | | | | VS Code +--->+ +--->+ MySQL | | | | | | | | Copilot CLI +--->+ +--->+ MariaDB | | | | | | | | | | +--->+ Databricks | | | | | | | | | | +--->+ BigQuery | | | | | | | +------------------+ +--------------+ +------------------+ MCP Clients MCP Server Databases
| Database | DSN Protocol | Status |
|---|---|---|
| PostgreSQL | postgres:// | Stable |
| MySQL | mysql:// | Stable |
| MariaDB | mariadb:// | Stable |
| SQL Server | sqlserver:// | Stable |
| SQLite | sqlite:/// | Stable |
| Databricks SQL | databricks:// | Stable |
| Google BigQuery | bigquery:// | Stable |
| Tool | Description |
|---|---|
execute_sql | Execute SQL queries with read-only enforcement and row limiting |
search_objects | Browse catalogs, schemas, tables, columns, indexes, and routines |
| Custom Tools | Define reusable, parameterized SQL queries in dbhub.toml |
npx dbhub-analytics --dsn "postgres://user:password@localhost:5432/dbname"
npx dbhub-analytics --dsn "databricks://token:YOUR_TOKEN@your-workspace.cloud.databricks.com/sql/2.0/warehouses/your_warehouse_id"
npx dbhub-analytics --dsn "bigquery://your-gcp-project/your_dataset?keyFile=/path/to/service-account.json&location=US"
docker run --rm --init \
--name dbhub-analytics \ --publish 8080:8080 \ amansingh63/dbhub-analytics \ --transport http \ --port 8080 \ --dsn "postgres://user:password@localhost:5432/dbname"
npx dbhub-analytics --demo
Add to your claude_desktop_config.json or .mcp.json:
{
"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "bigquery://your-project/your_dataset?keyFile=/path/to/sa.json&location=US"] } } }
Add to your .vscode/mcp.json:
{
"servers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "postgres://user:pass@localhost:5432/dbname"] } } }
Add to your Cursor MCP settings (~/.cursor/mcp.json):
{
"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "databricks://token:YOUR_TOKEN@host/sql/2.0/warehouses/ID"] } } }
Add to your Windsurf MCP config (~/.codeium/windsurf/mcp_config.json):
{
"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--dsn", "mysql://user:pass@localhost:3306/dbname"] } } }
For connecting to multiple databases, use a TOML config file with any of the above clients:
{
"mcpServers": { "dbhub-analytics": { "command": "npx", "args": ["-y", "dbhub-analytics", "--config", "/path/to/dbhub.toml"] } } }
| Database | Format |
|---|---|
| PostgreSQL | postgres://user:pass@host:5432/dbname?sslmode=require |
| MySQL | mysql://user:pass@host:3306/dbname |
| MariaDB | mariadb://user:pass@host:3306/dbname |
| SQL Server | sqlserver://user:pass@host:1433/dbname |
| SQLite | sqlite:///path/to/file.db or sqlite:///:memory: |
| Databricks | databricks://token:TOKEN@host/sql/2.0/warehouses/ID?catalog=CAT&schema=SCH |
| BigQuery | bigquery://PROJECT_ID/DATASET?keyFile=/path/to/key.json&location=US |
Connect to multiple databases simultaneously. Create a dbhub.toml file:
[[sources]]
id = "databricks_prod" type = "databricks" host = "adb-xxx.azuredatabricks.net" password = "dapi..." path = "/sql/2.0/warehouses/abc123"
[[sources]] id = "bigquery_analytics" type = "bigquery" project = "my-gcp-project" database = "analytics_dataset" location = "US"
[[sources]] id = "postgres_prod" type = "postgres" host = "localhost" port = 5432 database = "production" user = "dbuser" password = "secret"
Then run:
npx dbhub-analytics --config dbhub.toml
See Multi-Database Configuration and Command-Line Options for complete documentation.
# Install dependencies
pnpm install
pnpm dev
pnpm build
pnpm test
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