CNEquity

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/rootsunc-cnequity

About

Use cases: data-analysis, finance-accounting

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools

5 read · 0 write · 0 delete · 1 not yet classified

Secrets

None asked for

Install scripts

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Runs as

Python package

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

• describe_lake

  START HERE. Returns what this lake actually holds — every dataset with its coverage window, history mode and freshness — plus the query contract that makes an answer correct (adjustment, point-in-time, which series have no real history). Cheap, reads no data. Call it before answering anything factual about A-share data, and use its coverage_start/coverage_end to tell 'this lake has no such data' apart from 'this did not happen'. It also reports `live_mode` — when that is on, some answers come from the vendor rather than the lake and say so. Then pick a tool: resolve_symbol for names, query_bar…

• query_bars

  Daily or intraday price bars. PRICES ARE STORED UNADJUSTED: pass adjust='hfq' for any comparison across time (returns, charts, drawdowns) or a split reads as a crash. Use adjust='qfq' when the levels must match what a quote screen shows today. Pass universe='all_a' for cross-sectional work to drop names that were not tradable that day. datasets: daily_bars, index_bars, minute_bars (1m), minute_bars_5m (5m), and minute_bars_15m / _30m / _60m when the user has derived them (each bar's `resampled_from` says whether 1m or 5m built it). Every response carries `origin`: 'lake' is stored and validate…

• query_dataset

  Read any other dataset by date window and symbol — fund_flow, margin_trading, dragon_tiger, block_trades, northbound_holdings, share_unlock_schedule, corporate_actions, valuation_metrics, index_constituents and the rest. Call describe_lake for the full list and each one's coverage. Bars go through query_bars and financial statements through query_fundamentals. Results are paged with limit/offset and the response reports the true total and a truncated flag; for cross-sectional ranking use run_sql instead of paging.

• query_fundamentals

  Financial statement items, point-in-time. `as_of` is REQUIRED and is what prevents look-ahead: only figures publicly announced on or before that date come back, and a restated figure returns the vintage that was current then. For a present-day view pass today's date; for a historical study pass the date being studied, never today. Results are paged with limit/offset. For prices use query_bars; for valuation ratios read valuation_metrics through query_dataset. Set pit_mode='strict' only to audit what the lake itself held on that date.

• resolve_symbol

  Look up a symbol by company name or partial code — '茅台', 'maotai', '600519' all resolve to 600519.SH. Do this before any query when the user named a company rather than a code: a guessed suffix returns an empty result rather than an error. Delisted names are included and flagged with delist_date. Returns the canonical symbol, name and delist_date; several rows mean the fragment is ambiguous, so pick by name before querying.

• run_sql

  One read-only DuckDB SELECT over every dataset, each exposed as a view under its own name. Use this for ranking, aggregation, percentiles and joins across datasets — computing them here is both correct and far cheaper than paging thousands of rows back and adding them up. `daily_bars_adj` is a ready-made view carrying hfq_open/high/low/close and open-lake qfq_* beside the raw columns; for a bounded historical qfq window use `daily_bars_qfq(start_date, end_date)` so the anchor matches that window. Prefer these over joining adj_factors yourself. Single SELECT only: no writes, DDL or multiple sta…

Signals

Stars

841

Forks

95

Open issues

1

Weekly downloads

851

Last commit

Oct 18, 2026 (10 days ago)

Last release

Oct 25, 2026 (3 days ago)

Last package publish

Oct 18, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name

io.github.rootSunc/cnequity

Version

0.20.0

Auth

No auth

Packages

pypi cnequity

License

Apache-2.0

Repository

github.com/rootSunc/CNEquity

Website

rootsunc.github.io/CNEquity/reference/mcp/

First seen

Oct 24, 2026

Last checked

Oct 26, 2026

Source

Official MCP Registrygithub-graphql