Skip to main content
Glama
SQL Generative MCP

SQL Generative MCP

by Denuwanhh

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_dump client 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 fastmcp SDK to run as a local stdio MCP server.


Related MCP server: PostgreSQL MCP Server

πŸ—οΈ Architecture

Architecture Diagram


πŸ› οΈ 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 sync

2. 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"

πŸš€ Running the Server

Start the stdio-based MCP server locally:

uv run python main.py

πŸ”Œ Integration with Claude Desktop

To configure Claude Desktop to use this database query tool on Windows, configure your claude_desktop_config.json file.

  1. Press Win + R, type %APPDATA%\Claude and press Enter.

  2. Open claude_desktop_config.json and insert the following server config:

{
  "mcpServers": {
    "db-query-server": {
      "command": "uv",
      "args": [
        "--directory",
        "c:/Projects/generative-tool",
        "run",
        "python",
        "main.py"
      ]
    }
  }
}
  1. Restart Claude Desktop. You will see the tools icon πŸ”Œ in the chat input area.


πŸ“ˆ 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>

Available Tools

1 tool
query_databaseB

Run a plain-English natural language query against the connected database and return the result as structured XML.

Inputs: user_query (required). Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.5/5.0

    Scored across 1 tool

    Disambiguation5/5

    Only one tool exists, so there is no possibility of confusion with other tools.

    Naming Consistency5/5

    The single tool name, 'query_database', follows a clear verb_noun pattern, and consistency is trivially maintained with one tool.

    Tool Count3/5

    With only one tool, the server feels thin for a database interaction service, though it may suffice as a single natural language query endpoint.

    Completeness2/5

    The server only provides querying, lacking common database operations like schema inspection, data modification, or DDL, leaving significant gaps in typical database workflows.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      A
      quality
      C
      maintenance
      Enables read-only interaction with PostgreSQL databases through natural language queries, supporting dynamic connections and secure query validation.
      3
      157 npm
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables secure, read-only PostgreSQL database interaction through natural language, with automatic database discovery and connection management.
      2
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables read-only interaction with PostgreSQL databases, allowing natural language queries for listing schemas, tables, describing columns, and executing SELECT/WITH statements.
      236 npm
      MIT
    • F
      license
      A
      quality
      C
      maintenance
      Enables users to interact with PostgreSQL databases using natural language, converting questions into validated, safe SQL queries and returning execution results with confidence scoring.
      1
      -