# DataClaw MCP Server

> Use this tool when you need to analyze large CSV files and turn raw data into actionable insights within conversations. The DataClaw MCP Server enables AI agents to query and audit CSV files, solving problems such as data-driven decision making and information extraction. It takes CSV files as input and outputs actionable insights, making it ideal for use cases where data analysis is required to inform conversations or decision-making processes.

Canonical page: https://skillsregistry.net/skills/bernardcaldas-dataclaw-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bernardcaldas-dataclaw-mcp

## Description

AI-first CSV analysis tool that enables AI agents to analyze, query, and audit large CSV files directly within conversations, turning raw data into actionable insights.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5jcdk5ug8)
- **Repository:** <https://github.com/bernardcaldas/dataclaw-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": "bernardcaldas-dataclaw-mcp"
    }
  }
}
```

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