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istat_mcp_server MCP Server

ondata/istat_mcp_server

Score: 41.0 Rank #108 MCP Server
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MCP server to query Italian statistics (ISTAT) via SDMX API — compatible with any MCP client

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Overview

ondata/istat_mcp_server is a Python MCP server licensed under MIT. MCP server to query Italian statistics (ISTAT) via SDMX API — compatible with any MCP client Topics: ai, claude, data, istat, italy, mcp, mcp-server, model-context-protocol, open-data, python, sdmx, statistics.

Ranked #108 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

Python MIT 10 pypi/wk
aiclaudedataistatitalymcpmcp-servermodel-context-protocolopen-datapythonsdmxstatistics

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 0%

0/3 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads 13% 10/wk

10 weekly installs → early adoption

Forks 0
Description Good
License MIT

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

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 3 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

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

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Matched Queries

"mcp server""mcp-server"

From the README

# ISTAT MCP Server

[English](README.md) | [Italiano](./README_IT.md)

MCP server for accessing Italian statistical data from the ISTAT SDMX API.

## Overview

This Model Context Protocol (MCP) server provides Claude Desktop with access to Italian statistical data from ISTAT (Istituto Nazionale di Statistica) through the SDMX REST API. It implements a two-layer caching mechanism to minimize API calls and provides seven tools for discovering, querying, and retrieving statistical data.

## Features

- **7 MCP Tools** for data discovery and retrieval:
  - `discover_dataflows` - Find available datasets by keywords (with blacklist filtering)
  - `get_structure` - Get dimension definitions and codelists for a datastructure ID
  - `get_constraints` - Get available constraint values for each dimension with descriptions (combines structure + constraints + codelist descriptions)
  - `get_codelist_description` - Get descriptions in Italian/English for codelist values
  - `get_concepts` - Get sema
Read full README on GitHub →

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