fd-cn-report

FindDataTechnology/fd-cn-report
★ 0 stars Python Data/Analytics Updated today
Chinese financial report MCP server — Shenwan industry AI rule system, outline extraction, AI structured extraction, Elasticsearch store + search
View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "fd-cn-report": {
      "command": "uvx",
      "args": [
        "fd-cn-report"
      ]
    }
  }
}

Or install with pip: pip install fd-cn-report

README Excerpt

**English** | [中文](README.zh-CN.md) MCP server for Chinese financial reports — 31 申万 L1 industry AI rule system, outline extraction, AI structured extraction, Elasticsearch store + search, and interactive rules dashboard. `fd-cn-report` auto-registers as a datasource when installed alongside `fd-open-data-mcp`. To install the **entire** finddata stack (hub + every

Tools (20)

CNREPORT_CACHE_DIRCNREPORT_SAVE_DIRDAAS_DATABASE_URLai_extractaudit_rule_gapsclear_cachedelete_indexextract_indicatorsextract_indicators_by_positionextract_sectionget_bse_companyget_bse_sectionget_companyget_csrc_ipo_reviewget_csrc_merger_reviewget_filingget_financial_statementsget_financialsget_hk_companyget_hk_financials
📊
Working with market or time-series data?
The Polymarket Historical Dataset — 18.5M+ price snapshots across 18,600+ prediction markets (CSV + SQLite). Built for backtesting & ML.
View dataset →