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)
Python MCP server for PostgreSQL database inspection and querying
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.
POSTGRES_HOST, POSTGRES_PORT, POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_DB, POSTGRES_READ_QUERY_LIMITValues 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": {
"postgresql": {
"command": "uvx",
"args": [
"mdev-postgresql-mcp-server"
],
"env": {
"POSTGRES_HOST": "your-value",
"POSTGRES_PORT": "your-value",
"POSTGRES_USER": "your-value",
"POSTGRES_PASSWORD": "your-value",
"POSTGRES_DB": "your-value",
"POSTGRES_READ_QUERY_LIMIT": "your-value"
}
}
}
}Run this in your terminal
claude mcp add postgresql --env POSTGRES_HOST=your-value --env POSTGRES_PORT=your-value --env POSTGRES_USER=your-value --env POSTGRES_PASSWORD=your-value --env POSTGRES_DB=your-value --env POSTGRES_READ_QUERY_LIMIT=your-value -- uvx mdev-postgresql-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"postgresql": {
"command": "uvx",
"args": [
"mdev-postgresql-mcp-server"
],
"env": {
"POSTGRES_HOST": "your-value",
"POSTGRES_PORT": "your-value",
"POSTGRES_USER": "your-value",
"POSTGRES_PASSWORD": "your-value",
"POSTGRES_DB": "your-value",
"POSTGRES_READ_QUERY_LIMIT": "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": {
"postgresql": {
"type": "stdio",
"command": "uvx",
"args": [
"mdev-postgresql-mcp-server"
],
"env": {
"POSTGRES_HOST": "your-value",
"POSTGRES_PORT": "your-value",
"POSTGRES_USER": "your-value",
"POSTGRES_PASSWORD": "your-value",
"POSTGRES_DB": "your-value",
"POSTGRES_READ_QUERY_LIMIT": "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.
POSTGRES_READ_QUERY_LIMIT 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 6, 2026
The registry name was verified with the GitHub account musaddiq-dev, 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: POSTGRES_HOST, POSTGRES_PORT, POSTGRES_USER, POSTGRES_PASSWORD, POSTGRES_DB
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 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) 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.
A Python Model Context Protocol (MCP) server for inspecting and querying PostgreSQL databases from MCP-compatible clients. It provides schema discovery, safe read-only query execution, query explanation, table previews, index analysis, relationship inspection, and PostgreSQL resources for table metadata.
postgresql_execute_read_query runs with PostgreSQL read-only transaction mode, caps returned rows by POSTGRES_READ_QUERY_LIMIT, and rolls back after execution. The server also includes postgresql_execute_write_query, which only accepts a single INSERT, UPDATE, DELETE, CREATE, ALTER, DROP, or TRUNCATE statement and can modify data/schema if the connected database user has permission. Do not auto-approve write-capable tools in your MCP client. For public or shared use, run the server with a dedicated read-only PostgreSQL user.
When published to PyPI, install or run the server like a standard Python MCP package:
uvx mdev-postgresql-mcp-server
For local development from source:
git clone https://github.com/musaddiq-dev/postgresql-mcp-server.git
cd postgresql-mcp-server python -m venv .venv source .venv/bin/activate pip install -e .
Copy the example environment file and update it with your database connection details.
cp .env.example .env
| Variable | Description | Required | Default |
|---|---|---|---|
POSTGRES_HOST | PostgreSQL host | Yes | localhost |
POSTGRES_PORT | PostgreSQL port | Yes | 5432 |
POSTGRES_USER | PostgreSQL username | Yes | None |
POSTGRES_PASSWORD | PostgreSQL password | No | None |
POSTGRES_DB | PostgreSQL database name | Yes | None |
LOG_LEVEL | Python logging level written to stderr | No | INFO |
POSTGRES_READ_QUERY_LIMIT | Maximum rows returned by read queries | No | 1000 |
Example read-only user:
CREATE USER mcp_readonly WITH PASSWORD 'change-me';
GRANT CONNECT ON DATABASE your_database TO mcp_readonly; GRANT USAGE ON SCHEMA public TO mcp_readonly; GRANT SELECT ON ALL TABLES IN SCHEMA public TO mcp_readonly; ALTER DEFAULT PRIVILEGES IN SCHEMA public GRANT SELECT ON TABLES TO mcp_readonly;
mdev-postgresql-mcp-server
From a local checkout before PyPI publication, run:
python -m postgresql_mcp_server.server
For published installs, prefer uvx. MCP servers using stdio must write protocol messages only to stdout; this server writes logs to stderr through Python logging.
Most MCP clients accept this mcpServers JSON shape:
{
"mcpServers": { "postgresql": { "command": "uvx", "args": ["mdev-postgresql-mcp-server"], "env": { "POSTGRES_HOST": "localhost", "POSTGRES_PORT": "5432", "POSTGRES_USER": "mcp_readonly", "POSTGRES_PASSWORD": "change-me", "POSTGRES_DB": "your_database" } } } }
For local development from this repository, use the installed console script path instead:
{
"mcpServers": { "postgresql": { "command": "/absolute/path/to/postgresql-mcp-server/.venv/bin/mdev-postgresql-mcp-server", "args": [], "env": { "POSTGRES_HOST": "localhost", "POSTGRES_PORT": "5432", "POSTGRES_USER": "mcp_readonly", "POSTGRES_PASSWORD": "change-me", "POSTGRES_DB": "your_database" } } } }
claude mcp add postgresql \
--env POSTGRES_HOST=localhost \ --env POSTGRES_PORT=5432 \ --env POSTGRES_USER=mcp_readonly \ --env POSTGRES_PASSWORD=change-me \ --env POSTGRES_DB=your_database \ -- uvx mdev-postgresql-mcp-server
VS Code uses the same command/args/env model in its MCP configuration:
{
"servers": { "postgresql": { "type": "stdio", "command": "uvx", "args": ["mdev-postgresql-mcp-server"], "env": { "POSTGRES_HOST": "localhost", "POSTGRES_PORT": "5432", "POSTGRES_USER": "mcp_readonly", "POSTGRES_PASSWORD": "change-me", "POSTGRES_DB": "your_database" } } } }
| Tool | Purpose | Safety |
|---|---|---|
postgresql_list_tables | List public base tables | Read-only |
postgresql_describe_table | Show columns and metadata for a table | Read-only |
postgresql_execute_read_query | Run bounded SQL under read-only transaction mode | Read-only |
postgresql_execute_write_query | Run a single approved modifying SQL statement and commit | Destructive |
postgresql_explain_query | Return PostgreSQL EXPLAIN output for a single query | Read-only |
postgresql_get_database_summary | Return database version and table count | Read-only |
postgresql_get_relationships | Inspect foreign-key relationships | Read-only |
postgresql_analyze_indexes | Inspect indexes and sizes | Read-only |
postgresql_preview_table | Return up to 10 rows from a table | Read-only |
postgresql_search_sql_definitions | Search public SQL routines/functions | Read-only |
postgres://list_tables returns public table names.postgres://schema/{table_name} returns a generated schema statement for a table.Without a database, verify syntax with:
python -m py_compile src/postgresql_mcp_server/server.py
With a configured database, start the server and use your MCP client to call list_tables.
This server is published through the standard Python MCP distribution path:
mdev-postgresql-mcp-serverio.github.musaddiq-dev/postgresql-mcp-serveruvxstdioThe mcp-name marker at the top of this README is required for MCP Registry ownership verification. Users should prefer uvx mdev-postgresql-mcp-server in local MCP client configurations.
.env or MCP client configs containing credentials.execute_write_query as destructive and require explicit user approval in your MCP client.MIT