How do I use INEI MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@INEI MCP Server show me the population of Lima department" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

INEI MCP Server

by JOSETRA44

Overview Schema Related Servers Score Discussions

Python

Remote

MCP Badge License: MIT Python 3.11+ No Auth Required

INEI MCP Server

Connects any MCP-compatible AI agent to INEI Estadist — the official statistics platform of Peru's Instituto Nacional de Estadística e Informática (INEI).

Access Census 2017 data, population indicators, geographic profiles, and social statistics for all 25 departments, 196 provinces, and 1,874 districts of Peru — no API key required.

Works with: Claude Desktop · Claude Code · Cursor · VS Code Copilot · Windsurf · any MCP client

Quickstart

# From source (development)
git clone https://github.com/JOSETRA44/inei-mcp.git
cd inei-mcp
uv sync
uv run inei-mcp

Related MCP server: onpe-mcp

Available Tools (7)

Tool	Description
`inei_get_departments`	List all 25 Peruvian departments with ubigeo codes and IDs
`inei_get_provinces`	List provinces of a department by ccdd code
`inei_get_districts`	List districts of a province, or search districts by name
`inei_search_indicators`	Search statistical indicators by keyword
`inei_get_indicator_data`	Get indicator values across geographies
`inei_browse_topics`	Browse the full thematic indicator tree
`inei_get_geography_profile`	Census 2017 population profile for a region
`inei_get_census_dashboard`	National demographic or social dashboard
`inei_get_data_sources`	List official data sources

Available Prompts (3)

Prompt	Description
`demographic_analysis`	Structured demographic analysis for a department
`regional_comparison`	Compare an indicator across Peru's regions
`census_deep_dive`	Comprehensive Census 2017 analysis

Available Resources (3)

URI	Contents
`inei://api-guide`	Complete API reference
`inei://department-codes`	All 25 department codes and IDs
`inei://thematic-categories`	Indicator categories with example IDs

Configuration (Claude Code / Claude Desktop)

From source (development)

{
  "mcpServers": {
    "inei": {
      "command": "uv",
      "args": ["--directory", "C:\\Users\\USER\\source\\MCPs\\INEI-mcp", "run", "inei-mcp"]
    }
  }
}

Data Source

All data from INEI Estadist — Peru's official national statistics platform. Primary data: Censos Nacionales 2017 — XII de Población y VII de Vivienda.

License

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

Need Help?

Related Servers

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

Lightport: Open-Sourcing Glama's AI Gateway
By punkpeye on April 27, 2026.
open source
OpenAI
Tool Definition Quality Score (TDQS)
By punkpeye on April 3, 2026.
mcp
The Hackers Who Tracked My Sleep Cycle
By punkpeye on March 26, 2026.
security

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/JOSETRA44/INEI-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server