MetricHub Quant - A股量化数据 MCP server
online · 100% uptimeio.github.clk1st/mh-fin-mcp·v0.1.1·2 starsChina A-Share quantitative data: 5000+ stocks, 13 factors, daily market & limit-up analysis.
2 stars12 downloads/wk
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MetricHub Quant - A股量化数据 tools
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Public scan report
scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it
- Code scan5 source files scanned25/25
- Live reliabilityremote reachable in 212ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 190 days ago4/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How MetricHub Quant - A股量化数据 compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 85/100
- higher than 70% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 125 ms
- faster than 78% of 30,031 servers
- GitHub stars
- 2
- more than 75% of 28,688 servers
- Downloads a week
- 12
- more than 3% of 12,191 servers with a package
Install MetricHub Quant - A股量化数据 in Claude Code, Cursor or VS Code
claude mcp add --transport http mh-fin-mcp https://api.quant.metrichub.app/mcp/sse
What the publisher says
From the MetricHub Quant - A股量化数据 repository's README, as published. We do not edit it. Read it on GitHub
mh-fin-mcp
<!-- mcp-name: io.github.clk1st/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 (claudedesktopconfig.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-mcpClaude Desktop (claudedesktopconfig.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
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
Nothing above is checked by us. What we check is on the safety report.
MetricHub Quant - A股量化数据: common questions
- Is MetricHub Quant - A股量化数据 MCP server safe?
- Yes, by our scan: it is graded A (85/100). Read the MetricHub Quant - A股量化数据 safety report
- How do I install MetricHub Quant - A股量化数据?
- It runs remotely at api.quant.metrichub.app. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does MetricHub Quant - A股量化数据 need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is MetricHub Quant - A股量化数据 maintained?
- The last commit was 228 days ago (2026-03-21). The latest release is v0.1.1.
- Is MetricHub Quant - A股量化数据 up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of MetricHub Quant - A股量化数据?
- Servers from other publishers that do the same job: TradingMCP MCP server and CNEquity MCP server.
- How does MetricHub Quant - A股量化数据 compare with other MCP servers?
- safety score 85/100 (higher than 70% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 125 ms (faster than 78% of 30,031 servers). Full comparison.
Alternatives to MetricHub Quant - A股量化数据
Same job from other publishers: the closest match first, then the best rated.
- TradingMCPMarket analysis for AI assistants: screeners, multi-timeframe analysis, backtests, in-chat charts.not reviewedEstablishedA
- CNEquityOpen-source China A-share data lake for AI agents: prices, fundamentals, flows, events, PIT.not reviewedEstablishedA