MetricHub Quant A股量化数据
Pull China A-share quotes, factors, and daily limit-up context into your agent for quant ideas or trading-adjacent products.
Overview
io.github.clk1st/mh-fin-mcp is a MCP server for the Grow phase that exposes China A-share quantitative data across 5000+ stocks and 13 factors.
What is this MCP server?
- Coverage of 5000+ China A-share listings with quantitative datasets
- 13 factor dimensions for screening and research workflows
- Daily market overview and limit-up (涨停) analysis tools
- Remote SSE endpoint and local stdio via PyPI mh-fin-mcp
- Requires MetricHub API key from quant.metrichub.app/api-keys
- 5000+ China A-share stocks covered
- 13 quantitative factors documented
- Server version 0.1.1 with stdio and SSE remotes
Community signal: 2 GitHub stars.
What problem does it solve?
Building A-share quant features without a licensed data feed forces solo developers to scrape or stub markets and slows honest validation.
Who is it for?
Builders shipping China-market quant tooling, research agents, or analytics who already work with A-shares and need MCP-native data access.
Skip if: Builders focused on U.S. or crypto-only products with no A-share exposure, or anyone unwilling to manage a MetricHub API key.
What do I get? / Deliverables
Once the API key is configured, your agent can answer factor screens, daily market stats, and limit-up questions to inform analytics dashboards or product specs.
- Factor and symbol-level quantitative responses for agent-driven research
- Daily market and limit-up summaries suitable for reports or UI copy
- Repeatable data access pattern for fintech prototypes
Recommended MCP Servers
Journey fit
Canonical shelf is Grow because sustained market and factor analytics support positioning, content, and product iteration after you have something to measure—not first-line ideation for most global SaaS builders. Analytics subphase matches daily market stats, factor screens, and limit-up analysis rather than frontend implementation.
How it compares
Licensed market-data MCP bridge, not a generic spreadsheet skill or Polymarket backtest server.
Common Questions / FAQ
Who is io.github.clk1st/mh-fin-mcp for?
Solo developers and quant-curious indie hackers building China A-share analytics, agents, or internal research workflows over MCP.
When should I use io.github.clk1st/mh-fin-mcp?
Use it when you need factor screens, daily market summaries, or limit-up analysis while growing or refining a finance-oriented product or content engine.
How do I add io.github.clk1st/mh-fin-mcp to my agent?
Create an API key at https://quant.metrichub.app/api-keys, then configure stdio with MH_FIN_API_KEY or the remote SSE URL with header X-API-Key per the server manifest.