mcpbeat

MetricHub Quant - A股量化数据 MCP Server

io.github.clk1st/mh-fin-mcp
answering

MetricHub Quant - A股量化数据 is answering right now. Last checked 8 min ago. 66 installs a week from pypi. Last commit 21 Mar 2026.

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

Installs per day peak 34 · avg 10 · -1% w/w
a month agotoday
Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
466 ms
Response time
average over 24h
66
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 8 min ago.

run in your terminal
claude mcp add mh-fin-mcp --transport http https://api.quant.metrichub.app/mcp/sse
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mh-fin-mcp": {
      "url": "https://api.quant.metrichub.app/mcp/sse"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mh-fin-mcp]
url = "https://api.quant.metrichub.app/mcp/sse"
.cursor/mcp.json
{
  "mcpServers": {
    "mh-fin-mcp": {
      "url": "https://api.quant.metrichub.app/mcp/sse"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mh-fin-mcp": {
      "url": "https://api.quant.metrichub.app/mcp/sse"
    }
  }
}

This endpoint answered with an authorization challenge — the server is running, but you need an API key or OAuth to use it.

Endpoints

URLTransportStateLatencyChecked
https://api.quant.metrichub.app/mcp/sse sse needs key 343 ms 8 min ago

MetricHub Quant - A股量化数据 — questions

Answers built from our own checks of this server.

Why is there no tool list for MetricHub Quant - A股量化数据?
The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.
Is MetricHub Quant - A股量化数据 working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 466 ms. The bar chart above shows every period we have measured.
How do I connect MetricHub Quant - A股量化数据?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You will need your own key or an OAuth login: it refuses anonymous clients.
Does MetricHub Quant - A股量化数据 need an API key?
Yes. Every time we knock, MetricHub Quant - A股量化数据 answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.
How fast is MetricHub Quant - A股量化数据?
It answers our handshake in 466 ms on average, which is faster than 25% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use MetricHub Quant - A股量化数据?
The pypi package mh-fin-mcp was installed 66 times in the last week. Week over week that is -1%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is MetricHub Quant - A股量化数据 open source?
Yes — written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.