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MCP server · Science

Natural Language Database Query System Using MCP

· github.com/Ashwin143/Natural-Language-Database-Query-System-using-MCP

implementing MCP servers to facilitate secure connections and data access across these distributed sytem enabling seamless querying across databases. The goal is to democratize data access so business users can get insights on their own, even when those insights require data from both databases.

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About Natural Language Database Query System Using MCP

Natural Language Database Query System Using MCP is an MCP server in the Science category: implementing MCP servers to facilitate secure connections and data access across these distributed sytem enabling seamless querying across databases. The goal is to democratize data access so business users can get insights on their own, even when those insights require data from both databases.

Install

From source
git clone https://github.com/Ashwin143/Natural-Language-Database-Query-System-using-MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

Natural Language Database Query System

A Python-based system that transforms natural language questions into database queries using Model Context Protocol (MCP) servers.

Overview

This system enables Marcus's team to serve data requests by:

  • Creating MCP servers for both primary and analytics databases
  • Translating business questions in plain English to SQL queries
  • Automatically discovering and navigating complex data relationships
  • Presenting results in a user-friendly format for non-technical users
  • Handling errors gracefully and providing meaningful feedback

Architecture

  • MCP Servers: Handle secure connections and queries to multiple databases
  • Natural Language Processing: Converts English questions to SQL queries
  • Schema Discovery: Automatically maps database structures and relationships
  • Query Execution: Safe query execution with result formatting
  • Error Handling: Comprehensive error management and validation

Installation

pip install -e .

Quick Start

from nldb_query import NLDBQuerySystem

# Initialize the system
query_system = NLDBQuerySystem()

# Ask a question in natural language
result = query_system.query("What are our top 10 customers by revenue this quarter?")
print(result.formatted_response)

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest tests/

# Run linting
black src/ tests/
flake8 src/ tests/

Configuration

See docs/configuration.md for detailed configuration options.

License

MIT License

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Natural Language Database Query System Using MCP

How do I install Natural Language Database Query System Using MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Natural Language Database Query System Using MCP safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Natural Language Database Query System Using MCP still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.