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MCP Database Server

by Souhar-dyaversion 1.3.1i★ –iRuns on your computer
Registry nameio.github.Souhar-dya/mcp-db-server

Install

Overview

Description from the maker (original English)

MCP server for SQLite, PostgreSQL, and MySQL with natural language to SQL and direct SQL tooling.

PopNx MCP’s three pillars

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

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
  • 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: DATABASE_URL

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": {
    "db": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add db --env DATABASE_URL=your-value -- docker run -i --rm -e DATABASE_URL docker.io/souhardyak/mcp-db-server:1.3.1

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": {
    "db": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "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": {
    "db": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "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

  • DATABASE_URL env
    Database connection URL. Defaults to local SQLite in /data/default.db.

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 Souhar-dya, 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 1137 servers in this category
  • Published to the registry more recently than 9% of the other 1137 servers in this category
  • Basic checks equal to or better than 100% of the other 1137 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 MCP Database Server 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 (1.3.1) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need 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

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.

mcp-db-server

An MCP (Model Context Protocol) server that exposes relational databases (PostgreSQL/MySQL) to AI agents with natural language query support. Transform natural language questions into SQL queries and get structured results.

Features

  • Multi-Database Support: Works with PostgreSQL and MySQL
  • Natural Language to SQL: Convert plain English queries to SQL using HuggingFace transformers
  • RESTful API: Clean FastAPI-based endpoints for database operations
  • Safety First: Read-only operations with query validation and result limits
  • Docker Ready: Complete containerization with Docker Compose
  • Production Ready: Health checks, logging, and error handling
  • AI Agent Friendly: Designed specifically for AI agent integration

Version 1.4.0 Changes

  • Added mandatory X-API-Key authentication for all database HTTP endpoints; /health remains public for health checks.
  • Removed unrestricted credentialed CORS and made allowed origins explicitly configurable.
  • Changed the default HTTP bind address to 127.0.0.1.
  • Added table-name validation against existing database tables to block SQL injection through table routes.
  • Added PostgreSQL sslmode=require compatibility for asyncpg connections.
  • Updated Docker Compose, environment examples, and documentation for secure API-key configuration.
  • Published Docker images:
  • souhardyak/mcp-db-server:1.4.0
  • souhardyak/mcp-db-server:latest
  • Added GitHub Container Registry publishing for:
  • ghcr.io/souhar-dya/mcp-db-server:1.4.0
  • ghcr.io/souhar-dya/mcp-db-server:latest

API Endpoints

EndpointMethodDescription
/healthGETHealth check and service status
/mcp/list_tablesGETList all available tables with column counts
/mcp/describe/{table_name}GETGet detailed schema for a specific table
/mcp/queryPOSTExecute natural language queries
/mcp/tables/{table_name}/sampleGETGet sample data from a table

Quick Start

Option 1: Docker Compose (Recommended)
  1. Clone and start the services:
   git clone https://github.com/Souhar-dya/mcp-db-server.git

cd mcp-db-server export MCP_API_KEY="$(openssl rand -hex 32)" docker-compose up --build

  1. Test the endpoints:
   # Health check

curl http://localhost:8000/health

List tables (requires the configured API key)

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/list_tables

Describe a table

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/describe/customers

Natural language query

curl -X POST "http://localhost:8000/mcp/query" \ -H "X-API-Key: $MCP_API_KEY" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show top 5 customers by total orders"}'

Option 2: Local Development
  1. Prerequisites:
  • Python 3.11+
  • PostgreSQL or MySQL database
  1. Install dependencies:
   pip install -r requirements.txt
  1. Set environment variables:
   export DATABASE_URL="postgresql+asyncpg://user:password@localhost:5432/dbname"

export MCP_API_KEY="$(openssl rand -hex 32)"

or for MySQL:

export DATABASE_URL="mysql+pymysql://user:password@localhost:3306/dbname"

  1. Run the server:
   python -m app.server

Sample Database

The project includes a sample database with realistic e-commerce data:

  • customers: Customer information (10 sample customers)
  • orders: Order records (17 sample orders)
  • order_items: Individual items within orders
  • order_summary: View combining order and customer data

Natural Language Query Examples

The server can understand various types of natural language queries:

# Get all customers

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show all customers"}'

Count orders by status

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "count orders by status"}'

Top customers by order value

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "top 5 customers by total order amount"}'

Recent orders

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show recent orders from last week"}'

Configuration

Environment Variables
VariableDescriptionDefault
DATABASE_URLFull database connection URLpostgresql+asyncpg://postgres:postgres@localhost:5432/postgres
DB_HOSTDatabase hostlocalhost
DB_PORTDatabase port5432
DB_USERDatabase usernamepostgres
DB_PASSWORDDatabase passwordpostgres
DB_NAMEDatabase namepostgres
HOSTServer host127.0.0.1
PORTServer port8000
MCP_API_KEYRequired API key for database HTTP routesNot set (API disabled)
CORS_ALLOW_ORIGINSComma-separated allowed browser originsEmpty (disabled)
Database Connection Examples
# PostgreSQL

DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/mydb

MySQL

DATABASE_URL=mysql+pymysql://user:pass@localhost:3306/mydb

PostgreSQL with SSL

DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/mydb?sslmode=require

Database Connection Examples
# PostgreSQL (local or cloud)

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname

MySQL (local or cloud)

DATABASE_URL=mysql+aiomysql://user:password@host:3306/dbname

PostgreSQL with SSL (cloud, e.g. Neon, Supabase, Aiven)

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname?sslmode=require

MySQL with SSL (cloud, e.g. Aiven, PlanetScale)

DATABASE_URL=mysql+aiomysql://user:password@host:3306/dbname?ssl-mode=REQUIRED

Note:

- For MySQL cloud providers, the ssl-mode parameter in the URL is ignored by the driver, but SSL is always enabled in the MCP server for cloud connections.

- For PostgreSQL, use sslmode=require for cloud DBs. For MySQL, just use the standard URL; SSL is handled automatically.

- If you see errors about ssl-mode or sslmode, check your URL and ensure you are using the correct driver prefix (mysql+aiomysql or postgresql+asyncpg).

Cloud Database Examples
# Neon (PostgreSQL)

DATABASE_URL=postgresql+asyncpg://username:password@ep-xxxxxx-pooler.us-east-2.aws.neon.tech/dbname

Aiven (MySQL)

DATABASE_URL=mysql+aiomysql://avnadmin:yourpassword@mysql-xxxxxx-username-xxxx.aivencloud.com:11079/defaultdb?ssl-mode=REQUIRED

Docker Usage with Cloud DB
docker run -d \

-p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY=" " \ souhardyak/mcp-db-server:latest

GitHub Container Registry is also available:

docker login ghcr.io

docker pull ghcr.io/souhar-dya/mcp-db-server:latest docker run -d \ -p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY="$MCP_API_KEY" \ ghcr.io/souhar-dya/mcp-db-server:latest

Images are published automatically when a v*.*.* tag is pushed. The workflow also creates the matching GitHub Release. To publish an existing tag such as v1.4.0, open the workflow's Run workflow action and enter 1.4.0. Set the GHCR package visibility to Public in the repository's Packages settings if unauthenticated pulls should be allowed.

Troubleshooting
  • If you get connect() got an unexpected keyword argument 'ssl-mode', ignore it: SSL is still enabled.
  • For network errors, check firewall and DB credentials.
  • For MySQL, always use mysql+aiomysql in the URL for async support.
PostgreSQL SSL connection note

For PostgreSQL cloud providers, use an asyncpg URL and sslmode=require:

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname?sslmode=require

The server normalizes sslmode=require to the ssl option expected by asyncpg. A temporary PostgreSQL verification was completed successfully against a compatible cloud database using CREATE, INSERT, SELECT, UPDATE, DELETE, and DROP; no test data was retained. Never commit or share a connection URL containing a real password.

API key authentication

MCP_API_KEY is a secret that you generate and provide to the server. It protects all database HTTP endpoints through the X-API-Key request header. The /health endpoint remains public for container health checks.

Generate a strong key on Linux or macOS:

export MCP_API_KEY="$(openssl rand -hex 32)"

Generate one in Windows PowerShell:

$bytes = New-Object byte[] 32

$env:MCP_API_KEY = ([BitConverter]::ToString($bytes) -replace "-", "").ToLower()

Start the Docker image with the key:

docker run -d \

-p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY="$MCP_API_KEY" \ souhardyak/mcp-db-server:latest

Call a protected endpoint with the same key:

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/list_tables

Keep the key in a password manager or deployment secret store. Do not commit it to Git, put it in a public image, or include it in logs.

Security Features

  • Mandatory HTTP Authentication: Database API routes require X-API-Key; /health remains public for health checks
  • Secure Network Default: HTTP mode binds to 127.0.0.1 unless explicitly configured otherwise
  • Restricted CORS: Cross-origin access is disabled unless origins are explicitly configured
  • Read-Only Operations: Only SELECT queries are allowed
  • Query Validation: Automatic detection and blocking of dangerous SQL operations
  • Result Limiting: Maximum 50 rows per query (configurable)
  • Input Sanitization: Protection against SQL injection
  • Safe Defaults: Secure configuration out of the box

Architecture

mcp-db-server/

├── app/ │ ├── init.py # Package initialization │ ├── server.py # FastAPI application and endpoints │ ├── db.py # Database connection and operations │ └── nl_to_sql.py # Natural language to SQL conversion ├── .github/workflows/ │ └── docker-publish.yml # CI/CD pipeline ├── docker-compose.yml # Docker Compose configuration ├── Dockerfile # Container definition

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

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