# plotting-mcp

> plotting-mcp — stackloklabs-plotting-mcp. Use this tool when you need to transform complex CSV data into interactive visualizations, solving problems of data interpretation and insight generation. It takes CSV data as input and produces interactive visualizations as output, providing a user-friendly interface for exploration and analysis. Ideal for data scientists and researchers, use plotting-mcp to uncover trends and patterns in large datasets.

Canonical page: https://skillsregistry.net/skills/stackloklabs-plotting-mcp  
JSON: https://api.skillsregistry.net/v1/skills/stackloklabs-plotting-mcp

## Description

MCP server that transforms CSV data into visualizations

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/StacklokLabs/plotting-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": "stackloklabs-plotting-mcp"
    }
  }
}
```

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

---
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