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MetricHub Quant - A股量化数据 MCP Server

by clk1st Your server? Claim it
answering

MetricHub Quant - A股量化数据 is answering right now. Last checked 6 min ago. 92 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 13 · -10% w/w
a month agotoday
Uptime history 91 days of history · worst day 97%
91 days agonow
100.0%
Uptime 24h
91 of 91 checks
—
Tools
hidden behind auth
314 ms
Response time
average over 24h
92
Installs / week
npm and PyPI

Nothing serious here today

Today is the operative word: we check MetricHub Quant - A股量化数据 every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 6 min ago.

run in your terminal
claude mcp add mh-fin-mcp --transport sse https://api.quant.metrichub.app/mcp/sse
Settings → Connectors → Add custom connector, then paste this address
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
{
  "servers": {
    "mh-fin-mcp": {
      "type": "sse",
      "url": "https://api.quant.metrichub.app/mcp/sse"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URLTransportStateLatencyChecked
https://api.quant.metrichub.app/mcp/sse sse sign-in 336 ms 6 min ago

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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 314 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 in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.
How do you sign in to MetricHub Quant - A股量化数据?
No API key is involved. MetricHub Quant - A股量化数据 answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.
How fast is MetricHub Quant - A股量化数据?
It answers our handshake in 314 ms on average, which is faster than 46% of all working MCP servers we measure. 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 92 times in the last week. Week over week that is -10%. 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?
We cannot say either way: written in Python and 2 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.