# R Econometrics MCP Server

> Use this tool when you need to perform advanced econometric analyses, such as linear regression and panel data modeling, to inform business decisions or research findings. It solves problems related to data analysis, forecasting, and model validation, providing outputs such as regression coefficients, diagnostic test results, and model summaries. Ideal for use in data-driven contexts, such as economic research, financial analysis, or business intelligence applications.

Canonical page: https://skillsregistry.net/skills/finite-sample-rmcp  
JSON: https://api.skillsregistry.net/v1/skills/finite-sample-rmcp

## Description

Provides econometric modeling capabilities through R, enabling AI assistants to perform sophisticated analyses including linear regression, panel data models, instrumental variables regression, and diagnostic tests.

## Trust

- **Trust score (0–1):** 0.22
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qiqzedafdr)
- **Repository:** <https://github.com/finite-sample/rmcp>

## 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": "finite-sample-rmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/finite-sample-rmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/finite-sample-rmcp/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