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sumarditjhai-sys/mcpserver

Score: 51.4 Rank #56

A Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to directly query and analyze a PostgreSQL sales database through natural language conversations.

Overview

sumarditjhai-sys/mcpserver is a Python MCP server. A Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to directly query and analyze a PostgreSQL sales database through natural language conversations.

Ranked #56 out of 104 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1d ago

Last commit 1d ago → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

Forks 0
Description Detailed
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge

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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

From the README

# 🔧 MCP Sales Analytics Server

A **Model Context Protocol (MCP)** server that enables Large Language Models (LLMs) to directly query and analyze a PostgreSQL sales database through natural language conversations.

Built with Python, the official MCP SDK, psycopg3, and Docker.

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## 🧩 The Challenge

Business teams rely on sales data to make strategic decisions such as identifying top customers, tracking revenue trends or monitoring sales rep performance. However, accessing this data typically requires:

- **SQL expertise** — writing complex queries with joins, aggregations, and filters
- **Database access** — navigating credentials, connections, and security policies
- **Rigid dashboards** — pre-built reports that can't answer ad-hoc questions

This creates a bottleneck where business stakeholders depend on data analysts or engineers for every new question, slowing down decision-making.

---

## 💡 The Solution

This project implements a **Model Context Protocol (MCP) server** tha
Read full README on GitHub →
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