# MCP DataFrame QA

> MCP DataFrame QA — sindhug-mcp-dataframe-qa. Use this tool when you need to analyze and query local dataframes using natural language questions, enabling safe and efficient extraction of insights from CSV, Parquet, or Pandas data. It solves problems of data exploration and discovery by providing typed analysis plans and read-only execution, ensuring data security and integrity. Ideal for use cases where complex data queries need to be simplified and made accessible through intuitive question-answering interfaces.

Canonical page: https://skillsregistry.net/skills/sindhug-mcp-dataframe-qa  
JSON: https://api.skillsregistry.net/v1/skills/sindhug-mcp-dataframe-qa

## Description

A research-informed MCP server that enables natural language question answering over local dataframes (CSV, Parquet, or Pandas) with safe, read-only execution and typed analysis plans.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cucgsszjbf)
- **Repository:** <https://github.com/sindhug/mcp-dataframe-qa>

## 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": "sindhug-mcp-dataframe-qa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sindhug-mcp-dataframe-qa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sindhug-mcp-dataframe-qa/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