# EIC-API-MCP

> EIC-API-MCP — zamax14-eic-api-mcp. Use this tool when you need to access and analyze intercensal survey data from INEGI through a public API, solving data integration and analysis problems for AI agents. It takes in survey data as input and outputs processed data in DuckDB, with a user interface via FastAPI and FastMCP. Use it when building data-driven applications that require reliable and efficient access to census data.

Canonical page: https://skillsregistry.net/skills/zamax14-eic-api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zamax14-eic-api-mcp

## Description

Encuesta Intercensal del INEGI (2015 y 2025) como API pública y servidor MCP para IAs · ETL a DuckDB, FastAPI, FastMCP, Docker

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-06

## Source

- **Source listing:** [GitHub](https://github.com/zamax14/EIC-API-MCP)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zamax14-eic-api-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zamax14-eic-api-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zamax14-eic-api-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt