# gretl-pymcp

> gretl-pymcp — gretl-project-gretl-pymcp. Use this tool when you need to manage and share econometric models and statistical analyses with others, leveraging the power of gretl and MCP (Multiple Comparison Procedure) in a collaborative environment. It solves problems of model sharing, replication, and verification, providing a server-based interface for inputting models and outputting results. Ideal for researchers and analysts working in econometrics, statistics, and data science who require a scalable and version-controlled workflow, with git integration for tracking changes.

Canonical page: https://skillsregistry.net/skills/gretl-project-gretl-pymcp  
JSON: https://api.skillsregistry.net/v1/skills/gretl-project-gretl-pymcp

## Description

A MCP server for gretl (open-source econometrics & statistics program)

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/gretl-project/gretl-pymcp)

## 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": "gretl-project-gretl-pymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gretl-project-gretl-pymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gretl-project-gretl-pymcp/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