# mcp-data-summary

> Use this tool when you need to generate visual summary reports from CSV datasets without exposing raw data to the model. It solves problems related to data privacy and visualization, allowing for secure and efficient summarization of complex datasets. The tool takes CSV datasets as input and produces visual summary reports as output, making it ideal for use cases where data insights are needed quickly and securely.

Canonical page: https://skillsregistry.net/skills/geyo33-mcp-learning-project  
JSON: https://api.skillsregistry.net/v1/skills/geyo33-mcp-learning-project

## Description

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pwf1khfq6a)
- **Repository:** <https://github.com/Geyo33/mcp-learning-project>

## 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": "geyo33-mcp-learning-project"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/geyo33-mcp-learning-project` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/geyo33-mcp-learning-project/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