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MCP server · Finance

MetricHub Quant - A股量化数据

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

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Scored 6 months ago · breakdown

About MetricHub Quant - A股量化数据

MetricHub Quant - A股量化数据 is an MCP server in the Finance category: china A-Share quantitative data: 5000+ stocks, 13 factors, daily market & limit-up analysis.

Install

uvx
uvx mh-fin-mcp
pip
pip install mh-fin-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (9)

get_factor_icFactor IC effectiveness history

Parameters not published.

get_industry_rankingIndustry rotation ranking (Shenwan industries)

Parameters not published.

get_limitup_analysisLimit-up analysis with 13 quantitative factors

Parameters not published.

get_market_overviewMarket overview: indices, breadth, sentiment, northbound flow

Parameters not published.

get_risk_alertsRisk alerts (shareholder reduction, etc.)

Parameters not published.

get_sector_hotspotsConcept sector hotspots with leading stocks

Parameters not published.

get_stock_listPaginated stock data for 5000+ A-shares

Parameters not published.

get_trade_datesList available trade dates

Parameters not published.

search_stockSearch stocks by name or code

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

mh-fin-mcp

中文文档

MCP Server for China A-Share quantitative market data, powered by MetricHub Quant.

Features

  • Market Overview: Major indices, limit-up/down stats, breadth, northbound flow, sentiment
  • Industry Rotation: Shenwan industry ranking with up/down ratio and limit-up counts
  • Sector Hotspots: Concept sector analysis with leading stocks
  • Stock Data: Full daily data for 5000+ A-shares (OHLCV, PE, PB, market cap, money flow)
  • Stock Search: Search by name or code
  • Limit-Up Analysis: 13-factor quantitative scoring for limit-up stocks
  • Factor IC: Factor effectiveness history
  • Risk Alerts: Shareholder reduction, performance warnings

Quick Start

1. Get API Key

Register at quant.metrichub.app, then go to API Key management to create a key.

2. Choose your integration method

Option A: Remote Server (Recommended, zero install)

No installation needed. Just add the URL to your config:

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "mh-fin": {
      "url": "https://api.quant.metrichub.app/mcp/sse",
      "headers": {
        "X-API-Key": "mhfk_your_key_here"
      }
    }
  }
}

Claude Code (.claude/settings.json):

{
  "mcpServers": {
    "mh-fin": {
      "url": "https://api.quant.metrichub.app/mcp/sse",
      "headers": {
        "X-API-Key": "mhfk_your_key_here"
      }
    }
  }
}

Option B: Local Install (via PyPI)

pip install mh-fin-mcp

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "mh-fin": {
      "command": "uvx",
      "args": ["mh-fin-mcp"],
      "env": {
        "MH_FIN_API_KEY": "mhfk_your_key_here"
      }
    }
  }
}

Claude Code (.claude/settings.json):

{
  "mcpServers": {
    "mh-fin": {
      "command": "uvx",
      "args": ["mh-fin-mcp"],
      "env": {
        "MH_FIN_API_KEY": "mhfk_your_key_here"
      }
    }
  }
}

3. Restart Claude to activate

Available Tools

Tool Description
get_trade_dates List available trade dates
get_market_overview Market overview: indices, breadth, sentiment, northbound flow
get_industry_ranking Industry rotation ranking (Shenwan industries)
get_sector_hotspots Concept sector hotspots with leading stocks
get_stock_list Paginated stock data for 5000+ A-shares
search_stock Search stocks by name or code
get_limitup_analysis Limit-up analysis with 13 quantitative factors
get_factor_ic Factor IC effectiveness history
get_risk_alerts Risk alerts (shareholder reduction, etc.)

Data

  • Covers all 5000+ A-shares
  • Updated daily after 17:30 CST (Mon-Fri)
  • 13 quantitative factors for limit-up scoring
  • Data only, no investment advice

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About MetricHub Quant - A股量化数据

How do I install MetricHub Quant - A股量化数据?

Run uvx mh-fin-mcp, then add the server to your MCP client's configuration.

Is MetricHub Quant - A股量化数据 safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is MetricHub Quant - A股量化数据 still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.