MetricHub Quant A股量化数据

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "metrichub-quant-a": {
      "command": "uvx",
      "args": [
        "mh-fin-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

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):

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):

config.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)

Terminal

pip install mh-fin-mcp

Claude Desktop (claude_desktop_config.json):

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):

config.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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MetricHub Quant A股量化数据

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "metrichub-quant-a": { "command": "npx", "args": ["-y", "MetricHub Quant - A股量化数据"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MetricHub Quant A股量化数据 →Install in Claude Desktop Install in Cursor Install in VS Code

MetricHub Quant A股量化数据

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

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "metrichub-quant-a": {
      "command": "uvx",
      "args": [
        "mh-fin-mcp"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

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

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):

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):

config.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)

Terminal

pip install mh-fin-mcp

Claude Desktop (claude_desktop_config.json):

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):

config.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

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MetricHub Quant A股量化数据

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "metrichub-quant-a": { "command": "npx", "args": ["-y", "MetricHub Quant - A股量化数据"] } }

AllMCPs Directory Badge

Full Badge Customizer

Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.

Badge Style:

Live Dynamic SVG Preview

Markdown (GitHub README)

[![AllMCPs](https://allmcps.com/api/badge/metrichub-quant-a?style=directory)](https://allmcps.com/mcp/metrichub-quant-a)

HTML Embed

<a href="https://allmcps.com/mcp/metrichub-quant-a"><img src="https://allmcps.com/api/badge/metrichub-quant-a?style=directory" alt="MetricHub Quant   A股量化数据 on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

37Quality signal: Fair · 37/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity2/15

Community engagement0/10

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to MetricHub Quant A股量化数据 →Install in Claude Desktop Install in Cursor Install in VS Code