# MCP Standardized Tool Demo

> Use this tool when you need to extract numerical data from text and visualize it in various chart formats, such as bar, pie, and line charts, to gain insights from frequency-based statistics. It solves problems of data extraction and visualization, taking text input and outputting statistical chart data through the Model Context Protocol. Ideal for use cases where AI agents require data analysis and visualization capabilities.

Canonical page: https://skillsregistry.net/skills/furenqiang-study-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/furenqiang-study-mcp-demo

## Description

A Node.js-based MCP server that extracts numbers from text and generates statistical chart data such as bar, pie, and line charts based on frequency. It enables AI agents to perform data extraction and visualization tasks through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hvmwv21bj4)
- **Repository:** <https://github.com/furenqiang-study/mcp_demo>

## 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": "furenqiang-study-mcp-demo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/furenqiang-study-mcp-demo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/furenqiang-study-mcp-demo/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