# MetricHub Quant - A股量化数据

> Use this tool when you need to analyze and quantify China A-Share market trends, leveraging daily market and limit-up data for over 5000 stocks across 13 key factors. It solves problems related to investment research, portfolio optimization, and risk management by providing comprehensive quantitative data. Ideal for use in financial modeling, algorithmic trading, and data-driven decision making.

Canonical page: https://skillsregistry.net/skills/io-github-clk1st-mh-fin-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-clk1st-mh-fin-mcp

## Description

China A-Share quantitative data: 5000+ stocks, 13 factors, daily market & limit-up analysis.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.clk1st%2Fmh-fin-mcp)
- **Repository:** <https://github.com/clk1st/mh-fin-mcp>

## Use it

MCP endpoint published by the skill: `https://api.quant.metrichub.app/mcp/sse`

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": "io-github-clk1st-mh-fin-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-clk1st-mh-fin-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-clk1st-mh-fin-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