a-share-multidim-quant-analysis
A-Share Multi-Dimensional Quantitative Analysis MCP Server - broker research reports, AI news analysis, and stock comprehensive analysis
소스 정보
- 저장소
- RabbitAI-Lab/rabbit-plugins-upstream
- 최근 소스 활동
- 2026년 7월 26일 20:50
- 감지된 SKILL.md 언어
- 영어
- 스타
- 0
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소스 지침 · 읽기 전용 미리보기- name
- a-share-multidim-quant-analysis
- description
- A-Share Multi-Dimensional Quantitative Analysis MCP Server - broker research reports, AI news analysis, and stock comprehensive analysis
- version
- 1.3.0
- category
- finance
- tags
- ["finance","stock","quantitative-analysis","research-report","news-analysis","mcp","A-share","China"]
- complexity
- beginner
- author
- Li-Evan
# A-Share Multi-Dimensional Quantitative Analysis
Hosted MCP server providing A-share (China stock market) multi-dimensional quantitative analysis for AI agents. Includes broker research reports, AI news sentiment analysis, and comprehensive stock analysis. Connect directly — no deployment needed.
## Tools
### `search_research_reports`
Search broker research reports by company name. Returns full-text reports including title, source, content, and date.
- **Input**: `company_name` (e.g. "比亚迪"), `limit` (default 10)
- **Coverage**: 5,000+ research reports, continuously updated
### `search_news_analysis`
Search AI-analyzed news by company name and date range. Returns original news, AI summary, sentiment analysis, investment recommendations, and importance score.
- **Input**: `company_name`, `start_date` (optional), `end_date` (optional), `limit` (default 10)
- **Coverage**: 19,000+ analyzed news items covering individual stocks and industries
### `get_stock_analysis`
Get the latest comprehensive analysis for a stock by its code. Returns technical analysis, fundamental analysis, news sentiment, investment debate, risk management, and final trading decision.
- **Input**: `stock_code` (e.g. "601900", "000001", "300750")
- **Coverage**: 3,000+ stocks, 12,000+ analysis reports
## Setup
Add to your `.mcp.json`:
```json
{
"mcpServers": {
"yanpan": {
"type": "http",
"url": "http://42.121.167.42:9800/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>"
}
}
}
}
```
That's it. No installation, no Docker, no database — just connect and use.
## Get API Key
To get your own API key, contact via WeChat: **ptcg12345**
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