Which integrations are available for this server?

Provides tools to execute Django management commands, run migrations, and automate setup tasks within a Django project environment. Allows for the automated management and updating of configuration variables within .env environment files. Enables the creation of PostgreSQL databases and the activation of database extensions such as hstore.

How do I use MCP Database Tools Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Database Tools Server create a database named dev_db and run migrations" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP Database Tools Server

📋 Table of Contents

🎯 Overview

This project is a Model Context Protocol (MCP) Server that automates Django database setup and management tasks. It provides tools to:

Create PostgreSQL databases
Enable PostgreSQL extensions (hstore)
Update Django .env configuration files
Execute Django management commands

The server integrates with VS Code Copilot and can be accessed via:

VS Code MCP integration
Automated workflow scripts

🏗️ Architecture

┌─────────────────────────────────────────────────────────────────┐ │ MCP Client Layer │ │ ┌──────────────┐ ┌──────────────┐ │ │ │ VS Code │ │ Workflow │ │ │ │ Copilot │ │ Scripts │ │ │ └──────┬───────┘ └──────┬───────┘ │ └─────────┼──────────────────┼──────────────────┼──────────────────┘ │ │ │ └──────────────────┼──────────────────┘ │ ┌────────▼────────┐ │ MCP Server │ │ (server.py) │ │ │ │ - list_tools() │ │ - call_tool() │ └────────┬────────┘ │ ┌──────────────────┼──────────────────┐ │ │ │ ┌─────▼─────┐ ┌─────▼─────┐ ┌─────▼─────┐ │PostgreSQL │ │ Django │ │ .env │ │ Database │ │ Backend │ │ File │ └───────────┘ └───────────┘ └───────────┘

📁 Project Structure

MCP_project/ │ ├── server.py # Main MCP server implementation ├── mcp.json # MCP server metadata ├── requirements.txt # Python dependencies │ * Web and CLI clients removed: The project no longer includes web_client.py or test_client.py files. ├── run_workflow.py # Automated workflow executor │ ├── tools/ # Utility modules (legacy/reference) │ ├── __init__.py │ ├── db_tools.py # PostgreSQL database operations │ ├── env_tools.py # Environment file management │ └── django_tools.py # Django command execution │ ├── templates/ # Web UI templates │ └── index.html # Main web interface │ └── venv/ # Python virtual environment

🔄 Component Flow

1. Core Server (server.py)

The heart of the system, implementing the MCP protocol:

┌─────────────────────────────────────────────────────────┐ │ server.py │ ├─────────────────────────────────────────────────────────┤ │ │ │ Configuration: │ │ ├─ PG_USER, PG_PASSWORD, PG_HOST │ │ ├─ DB_NAME (default: sample_project_db) │ │ ├─ ENV_PATH (Django .env location) │ │ ├─ MANAGE_PY (Django manage.py location) │ │ └─ PYTHON_EXEC (Virtual environment Python) │ │ │ │ MCP Server Decorators: │ │ ├─ @server.list_tools() → Returns available tools │ │ └─ @server.call_tool() → Executes tool operations │ │ │ │ Tools Implemented: │ │ ├─ create_database(db_name) │ │ ├─ enable_hstore(db_name) │ │ ├─ update_env(db_name) │ │ └─ django(cmd) │ └─────────────────────────────────────────────────────────┘

Key Features:

Async/await architecture for MCP protocol compliance
stdio communication (not HTTP) for MCP client integration
Automatic lowercase conversion for PostgreSQL database names
Environment variable loading from .env files for Django commands
Virtual environment Python execution to ensure dependencies

2. Tool: create_database

Input: { db_name: "mydb" } │ ├─ Converts db_name to lowercase ("mydb") │ ├─ Connects to PostgreSQL server (postgres database) │ └─ Uses: PG_USER, PG_PASSWORD, PG_HOST │ ├─ Executes: CREATE DATABASE mydb; │ └─ Returns: "Database mydb created."

PostgreSQL Connection:

psycopg2.connect( dbname="postgres", user=PG_USER, password=PG_PASSWORD, host=PG_HOST )

3. Tool: enable_hstore

Input: { db_name: "mydb" } │ ├─ Converts db_name to lowercase │ ├─ Connects to the specified database │ ├─ Executes: CREATE EXTENSION IF NOT EXISTS hstore; │ └─ Returns: "hstore extension enabled in mydb."

Purpose: Enables PostgreSQL's hstore extension for key-value pair storage.

4. Tool: update_env

Input: { db_name: "mydb" } │ ├─ Converts db_name to lowercase │ ├─ Reads ENV_PATH file │ ├─ Finds line: POSTGRES_DB_NAME=old_value │ └─ Skips commented lines (#) │ ├─ Replaces with: POSTGRES_DB_NAME=mydb │ └─ Returns: ".env updated: POSTGRES_DB_NAME=mydb"

File Operations:

Preserves all other .env content
Only updates non-commented POSTGRES_DB_NAME lines
Maintains file structure and formatting

5. Tool: django

Input: { cmd: "migrate" } │ ├─ Loads environment from ENV_PATH using dotenv │ └─ Merges with os.environ │ ├─ Executes: PYTHON_EXEC MANAGE_PY migrate │ └─ In working directory: dirname(MANAGE_PY) │ └─ With loaded environment variables │ ├─ Captures stdout and stderr │ └─ Returns: Command output with exit code

Execution Flow:

subprocess.run( [PYTHON_EXEC, MANAGE_PY] + cmd.split(), cwd=workdir, env=env, # Loaded from .env capture_output=True, text=True )

Why Virtual Environment Python?

Django and dependencies installed in virtual environment
System Python lacks required packages
Ensures consistent execution environment

Client Interfaces

Access to the server is primarily via VS Code MCP integration and the automated workflow script.

C. Workflow Automation (run_workflow.py)

Complete Database Setup Workflow ┌─────────────────────────────────────────┐ │ Step 1: Create database │ │ Step 2: Enable hstore extension │ │ Step 3: Update .env file │ │ Step 4: Run create_text_search_config │ │ Step 5: Run migrations │ │ Step 6: Run update_fixtures │ └─────────────────────────────────────────┘

Usage:

python run_workflow.py mydb

What It Does:

Creates PostgreSQL database "mydb"
Enables hstore extension
Updates .env with POSTGRES_DB_NAME=mydb
Runs Django setup commands in sequence
Reports success/failure for each step

🛠️ Installation & Setup

Prerequisites

Python 3.12+
PostgreSQL server running
Django project (optional, for Django commands)

Step 1: Clone/Setup Project

cd /home/chaitanyaphani/MCP_project

Step 2: Create Virtual Environment

python3 -m venv venv source venv/bin/activate # Linux/Mac # or venv\Scripts\activate # Windows

Step 3: Install Dependencies

pip install -r requirements.txt

Dependencies:

mcp - Model Context Protocol SDK
Flask - Web UI framework
psycopg2-binary - PostgreSQL adapter
python-dotenv - Environment file support

Step 4: Configure PostgreSQL

Edit server.py:

PG_USER = "postgres" PG_PASSWORD = "your_password" # Update this! PG_HOST = "localhost"

Step 5: Configure Django Paths

Edit server.py:

ENV_PATH = "/path/to/your/django/.env" MANAGE_PY = "/path/to/your/django/manage.py" PYTHON_EXEC = "/path/to/your/django/venv/bin/python"

Step 6: Configure VS Code (Optional)

Edit VS Code settings (settings.json):

{ "mcpServers": { "dbtools": { "command": "python", "args": ["server.py"], "cwd": "/home/chaitanyaphani/MCP_project" } } }

🚀 Usage

Method 1: Automated Workflow

python run_workflow.py database_name

Method 2: VS Code Copilot

Once configured, simply ask: Once configured, simply ask:

"Create a database named myproject, enable hstore, update the .env file, and run migrations"

⚙️ Configuration

Environment Variables

The server uses these configuration constants:

Variable	Purpose	Default
`PG_USER`	PostgreSQL username	`postgres`
`PG_PASSWORD`	PostgreSQL password	`root`
`PG_HOST`	PostgreSQL host	`localhost`
`PG_PORT`	PostgreSQL port	`5432`
`DB_NAME`	Default database name	`sample_project_db`
`ENV_PATH`	Django .env file path	`/path/to/.env`
`MANAGE_PY`	Django manage.py path	`/path/to/manage.py`
`PYTHON_EXEC`	Virtual env Python	`/path/to/venv/bin/python`

Django .env File Format

Expected format:

POSTGRES_DB_HOST=localhost POSTGRES_DB_PORT=5432 POSTGRES_DB_NAME=mydb POSTGRES_DB_USER=postgres POSTGRES_DB_PASSWORD=password

🔍 Troubleshooting

Issue 1: "AttributeError: 'Server' object has no attribute 'define_tool'"

Cause: Using incorrect MCP decorator syntax.
Solution: Use @server.list_tools() and @server.call_tool() instead of @server.define_tool.

Issue 2: "password authentication failed for user 'postgres'"

Cause: Incorrect PostgreSQL password.
Solution: Update PG_PASSWORD in server.py with your actual PostgreSQL password.

Issue 3: "ModuleNotFoundError: No module named 'django'"

Cause: Using system Python instead of virtual environment Python.
Solution: Ensure PYTHON_EXEC points to your Django project's virtual environment Python.

Issue 4: "database 'XX' does not exist" (uppercase names)

Cause: PostgreSQL converts unquoted identifiers to lowercase.
Solution: Server now automatically converts database names to lowercase.

Issue 5: ".env updated but database name not changed"

Cause: Looking for wrong variable name in .env file.
Solution: Ensure your .env uses POSTGRES_DB_NAME= (not POSTGRES_DB=).

Issue 6: "Tables not created after migrate"

Cause: Environment variables not loaded, or wrong Python executable.
Solutions:

Verify PYTHON_EXEC points to correct virtual environment
Check .env file is loaded and contains correct database name
Run migrate manually to see detailed errors

📊 Data Flow Diagram

Complete Workflow Example

User Request: "Create database 'myapp'" │ ├─ VS Code Copilot/Web UI/CLI │ └─ Sends MCP request to server.py │ ├─ server.py receives call_tool("create_database", {"db_name": "myapp"}) │ │ │ ├─ Step 1: create_database │ │ ├─ Convert "myapp" → "myapp" (lowercase) │ │ ├─ Connect to PostgreSQL │ │ ├─ Execute: CREATE DATABASE myapp; │ │ └─ Return: "Database myapp created." │ │ │ ├─ Step 2: enable_hstore │ │ ├─ Connect to "myapp" database │ │ ├─ Execute: CREATE EXTENSION IF NOT EXISTS hstore; │ │ └─ Return: "hstore extension enabled in myapp." │ │ │ ├─ Step 3: update_env │ │ ├─ Read /path/to/.env │ │ ├─ Find: POSTGRES_DB_NAME=olddb │ │ ├─ Replace with: POSTGRES_DB_NAME=myapp │ │ ├─ Write back to file │ │ └─ Return: ".env updated: POSTGRES_DB_NAME=myapp" │ │ │ └─ Step 4: django("migrate") │ ├─ Load .env into environment │ ├─ Execute: /venv/bin/python manage.py migrate │ │ └─ Django reads POSTGRES_DB_NAME=myapp from env │ │ └─ Connects to "myapp" database │ │ └─ Applies migrations │ └─ Return: Migration output │ └─ Result returned to user

🎓 Key Concepts

Model Context Protocol (MCP)

Protocol for AI assistants to interact with tools
stdio-based communication (not HTTP)
Async/await pattern required
Tool registration via list_tools()
Tool execution via call_tool()

Why This Architecture?

Separation of Concerns: Server logic separate from client interfaces
Multiple Interfaces: Same server, different access methods
Type Safety: MCP protocol with schema validation
Error Handling: Comprehensive error reporting
Environment Isolation: Uses virtual environment Python

PostgreSQL Naming Rules

Unquoted identifiers converted to lowercase
CREATE DATABASE MyDB creates mydb
Server automatically handles this conversion

📝 Tool Reference

create_database

{ "name": "create_database", "arguments": { "db_name": "string (optional, default: sample_project_db)" }, "returns": "Database {db_name} created." }

enable_hstore

{ "name": "enable_hstore", "arguments": { "db_name": "string (optional, default: sample_project_db)" }, "returns": "hstore extension enabled in {db_name}." }

update_env

{ "name": "update_env", "arguments": { "db_name": "string (optional, default: sample_project_db)" }, "returns": ".env updated: POSTGRES_DB_NAME={db_name}" }

django

{ "name": "django", "arguments": { "cmd": "string (required) - Django management command" }, "returns": "Command output (stdout/stderr)" }

Common Django Commands:

migrate - Apply database migrations
makemigrations - Create new migrations
create_text_search_config - Custom command
update_fixtures - Custom fixture management
runserver - Start development server

🤝 Contributing

To extend this server with new tools:

Add tool definition in list_tools():

Tool( name="my_new_tool", description="What it does", inputSchema={ "type": "object", "properties": { "param1": {"type": "string", "description": "..."} }, "required": ["param1"] } )

Add tool implementation in call_tool():

elif name == "my_new_tool": param1 = arguments.get("param1") # Your logic here return [TextContent(type="text", text="Result")]

📞 Support

For issues or questions:

Check the Troubleshooting section
Verify configuration in server.py
Test with run_workflow.py for debugging/automation
Check PostgreSQL logs for database issues
Check Django logs for Django command issues

📄 License

This project is part of the Altiushub backend infrastructure.

Last Updated: December 12, 2025
Version: 1.0.0
MCP Protocol Version: Compatible with MCP SDK latest