@pipeworx/china-macro
MCP serverEverything elseChina's PBOC Loan Prime Rate (LPR) — 1-year and 5-year benchmark lending rates with reference…
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use @pipeworx/china-macro
From the project's README
As published by pipeworx-io/mcp-china-macro in README.md.
China's PBOC Loan Prime Rate (贷款市场报价利率, LPR) — the 1-year and 5-year benchmark lending rates, with official reference dates, sourced live from chinamoney.com.cn (the National Interbank Funding Center, under PBOC authorization).
Part of Pipeworx — an MCP gateway connecting AI agents to 1573+ live data sources.
Tools
china_lpr({ months? })— up to the last 12 monthly LPR announcements (1-year and 5-year rate, plus reference date), newest first, and alatestfield. The upstream only exposes a rolling ~1-year window —monthscaps at 12.china_lpr_latest()— the current 1-year/5-year LPR print and its reference date only, without the history. Cheaper when a caller just wants "the current rate".
Auth
Keyless. No cookie or session — just a same-site Referer header, which the
pack sends on every call.
Data sources
https://www.chinamoney.com.cn/ags/ms/cm-u-bk-currency/LprHis?lang=CN— rolling ~1-year monthly history (china_lpr).https://www.chinamoney.com.cn/r/cms/www/chinamoney/data/currency/bk-lpr.json— latest print only (china_lpr_latest).
Both are the JSON endpoints chinamoney.com.cn's own chart widget calls, found
via a browser network tab (fleet #1311) — the guessed export path
(LprHisExcel) 200s with an empty body and is not usable. The history
endpoint ignores date-range query parameters and always returns the same
rolling ~12-row window ending at the latest announcement; there is no deeper
history available through this call. LPR is announced monthly on the 20th (or
the next business day) — expect china_lpr_latest's reference_date to move
roughly once a month.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"china-macro": {
"url": "https://gateway.pipeworx.io/china-macro/mcp"
}
}
}
What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/china-macro/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1573+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Standalone (no gateway account)
This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:
{
"mcpServers": {
"china-macro": {
"command": "npx",
"args": ["-y", "@pipeworx/mcp-china-macro"]
}
}
}
Or run it directly to confirm it starts:
npx -y @pipeworx/mcp-china-macro
It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call
for only this pack's tools — none of the shared meta-tools the gateway
connection above adds. Same source, same tools, no ask_pipeworx routing.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about China Macro data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
Advanced
- Delivery
- china-macro MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-pipeworx-io-china-macro- Source
- github.com/pipeworx-io/mcp-china-macro
- Hosted endpoint
https://gateway.pipeworx.io/china-macro/mcp