# emovi-mcp

> Use this tool when you need to analyze social mobility data from the ESRU-EMOVI 2023 survey in Mexico, or explore weighted statistics and transition matrices using natural language queries. It solves problems related to data exploration and statistical analysis, providing insights into social mobility trends. The emovi-mcp server takes natural language inputs and returns relevant statistics and data visualizations as output.

Canonical page: https://skillsregistry.net/skills/lalitronico-emovi-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lalitronico-emovi-mcp

## Description

MCP server for the ESRU-EMOVI 2023 social mobility survey in Mexico. Enables AI assistants to query weighted statistics, transition matrices, and explore variables from the survey using natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mks41dh4w3)
- **Repository:** <https://github.com/Lalitronico/emovi-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": "lalitronico-emovi-mcp"
    }
  }
}
```

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