SQL Generative MCP
Allows querying a PostgreSQL database using natural language, with results returned as structured XML.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SQL Generative MCPShow me all expenses from last month"
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.
SQL Generative MCP
An interactive Model Context Protocol (MCP) server that translates plain English queries into SQLAlchemy operations, queries a PostgreSQL database under strict read-only execution modes, and returns the query results formatted as structured XML.
🌟 Key Features
Natural Language DB Querying: Translate user queries in plain English to corresponding database results dynamically.
SQLAlchemy Table Reflection: Reflects database schemas dynamically across multiple namespaces using standard ORM capabilities (no direct
pg_dumpclient tools needed).Enforced Read-Only Transactions: Database URL connections are injected with query options (
?options=-c%20default_transaction_read_only%3Don) to natively block any modifications (CREATE,UPDATE,DELETE,DROP) at the database engine level.Dynamic XML Response Formatting: Converts database records into a clean, well-formed XML structure automatically compiled by Claude.
FastMCP Protocol Integration: Built on top of the standard
fastmcpSDK to run as a local stdio MCP server.
Related MCP server: Enterprise PostgreSQL MCP Server
🏗️ Architecture

🛠️ Setup & Installation
Prerequisites
Python 3.13+
uv (fast Python package installer and resolver)
PostgreSQL Server with an active database
1. Project Initialization & Dependencies
Initialize the project environment and install dependencies:
uv sync2. Environment Configuration
Create a .env file in the root directory and configure the database URL along with your Anthropic API key:
# Database connection for local development (enforced read-only mode via query options)
DATABASE_URL=postgresql://postgres:admin@localhost:5432/expence_db?options=-c%20default_transaction_read_only%3Don
# Anthropic API Key
ANTHROPIC_API_KEY="your-anthropic-api-key-here"🚀 Running the Server
Start the stdio-based MCP server locally:
uv run python main.py🔌 Integration with Claude Desktop
To configure Claude Desktop to use this database query tool on Windows, configure your claude_desktop_config.json file.
Press
Win + R, type%APPDATA%\Claudeand press Enter.Open
claude_desktop_config.jsonand insert the following server config:
{
"mcpServers": {
"db-query-server": {
"command": "uv",
"args": [
"--directory",
"c:/Projects/generative-tool",
"run",
"python",
"main.py"
]
}
}
}Restart Claude Desktop. You will see the tools icon 🔌 in the chat input area.
📈 Usage Examples
Once connected, you can ask Claude queries like:
"Show a list of all tables in the database"
"How many expense entries are recorded for AWS?"
"Show a list of all rows in table exp_expence_core_t"
The server returns results formatted as well-formed XML:
<data>
<item>
<exp_expence_core_id>26</exp_expence_core_id>
<title>AWS Bill</title>
<amount>100.00</amount>
</item>
</data>Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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