China Stocks vs Andrea9293 MCP — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
China Stocks vs Andrea9293 MCP
In-depth architectural comparison of the China Stocks and Andrea9293 MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
China Stocks
Developer Tools · Local stdio
Quality: 41/100 (Fair) | Auth: No auth required
Andrea9293 MCP
Developer Tools · Local stdio
Quality: 63/100 (Good) | Auth: No auth required
Verdict Summary: Choose China Stocks if you need specialized Developer Tools tools running via a local process. Choose Andrea9293 MCP if your workspace requires Developer Tools integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
C
Choose China Stocks when:
You need dedicated capabilities in the Developer Tools domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
The Chinese A-share market's LIMIT-UP board (涨停板) for a trading day — how many stocks hit their daily price limit (+10%, or +20% for STAR/ChiNext) and the ranked list of those stocks. Answers 'how many A-shares hit limit up today', 'top limit-up stocks', 'which stocks 涨停'. Each stock includes code,…
ashares_market_snapshot
Overall snapshot of the Chinese A-share market — the headline index levels (Shanghai Composite, Shenzhen Component, ChiNext, STAR 50, CSI 300) with change %, day range and turnover, plus how many stocks hit limit-up (涨停) today as a sentiment gauge. Answers 'how is the China A-share market doing', '…
ashares_quote
Real-time quote(s) for Chinese A-share stocks by 6-digit code (Shanghai 6xxxxx, Shenzhen 0xxxxx/3xxxxx, STAR 688xxx, ChiNext 30xxxx, Beijing 8xxxxx/4xxxxx). Returns name, current price, change and change %, open, previous close, day high/low, volume, turnover, and the quote timestamp. Accepts one c…
ashares_earnings_forecast
Company-issued earnings guidance (业绩预告) for a Chinese A-share stock — the company's own forecast announcements with predicted profit range (lower/upper bounds in CNY), year-over-year change %, forecast type (略增/预增/扭亏 etc.), and the company's stated reason. Answers '业绩预测', '业绩预告', 'earnings forecast…
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
China Stocks is categorized under Developer Tools and uses a local stdio subprocess. In contrast, Andrea9293 MCP belongs to Developer Tools using local stdio subprocess. Select China Stocks when you need capabilities focused on developer tools and Andrea9293 MCP when you require tools for developer tools.
Analyst consensus estimates (盈利预测) for a Chinese A-share stock — per forecast year: consensus EPS, P/E at current price, net profit attributable to parent (归母净利润), and total operating revenue, in CNY. Answers "analyst estimates / 盈利预测 / forecast EPS for a China A-share like 000988". Source: Eastmon…
Andrea9293 MCP Tools (12)
add_document
Add a document (title, content, optional metadata)
list_documents
List all documents with metadata and content preview
get_document
Retrieve the full content of a document by ID
delete_document
Remove a document, its chunks, database entries, and associated files
process_uploads
Process all files in the uploads folder (chunking + embeddings)
get_uploads_path
Returns the absolute path to the uploads folder
list_uploads_files
Lists files in the uploads folder with size and format info
get_ui_url
Returns the Web UI URL (e.g. http://localhost:3080) — useful to open the dashboard or to locate the uploads folder from the browser
search_documents
Semantic vector search within a specific document
search_all_documents
Hybrid (full-text + vector) cross-document search
get_context_window
Returns a window of chunks around a given chunk index
search_documents_with_ai
🤖 AI-powered search using Gemini (requires `GEMINI_API_KEY`)