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The esankhyiki-mcp MCP server was last committed 15d ago and has 8 contributors. Issue health: 24% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

esankhyiki-mcp MCP Server

Name: nso-india/esankhyiki-mcp
Rating: 3.8 (1 reviews)
Author: nso-india

nso-india/esankhyiki-mcp

Score: 68.8 ↓ 26.7% Rank #4301 MCP Server

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This repository consists of Source Code for Model Context Protocol (MCP) Pilot Project being undertaken by Ministry of Statistics and Programme Implementation and source code for the same is being shared under MIT License.

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Overview

nso-india/esankhyiki-mcp is a Python MCP server licensed under MIT. This repository consists of Source Code for Model Context Protocol (MCP) Pilot Project being undertaken by Ministry of Statistics and Programme Implementation and source code for the same is being shared under MIT License.

Ranked #4301 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 145

145 stars → growing community

Freshness 25% 15d ago

Last commit 15d ago → recently updated

Issue Health 25% 24%

4/17 issues closed → many open issues

Contributors 10% 8

8 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 28

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 13 open vs 4 closed issues — triaging stale issues improves health

Dependents medium impact

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

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Details

Stars: 145
Forks: 28
Open Issues: 13
Closed Issues: 4
Contributors: 8
Dependents: —
Language: Python
License: MIT
Last Commit: 15d ago

Matched Queries

"model context protocol""model-context-protocol"

From the README

# MoSPI MCP Server

MCP (Model Context Protocol) server for accessing India's Ministry of Statistics and Programme Implementation (MoSPI) data APIs. Built with FastMCP 3.3.

---

## Table of Contents

- [Overview](#overview)
- [Datasets](#datasets)
- [MCP Tools](#mcp-tools)
- [Quick Start](#quick-start)
  - [Installation](#installation)
  - [Running the Server](#running-the-server)
  - [Connecting from an MCP Client](#connecting-from-an-mcp-client)
- [Deployment](#deployment)
  - [Docker](#docker)
  - [Docker Compose](#docker-compose)
  - [FastMCP Cloud](#fastmcp-cloud)
- [Architecture](#architecture)
- [Configuration](#configuration)
- [Contributing](#contributing)
- [Resources](#resources)
- [License](#license)
- [About DIID](#diid)
- [Acknowledgments](#acknowledgments)

---

## Overview

This server provides AI-ready access to official Indian government statistics through the Model Context Protocol (MCP). It acts as a bridge between AI assistants (Claude, ChatGPT, Cursor, etc.) and

Read full README on GitHub →