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li-evan

A-Share Multi-Dimensional Quantitative Analysis

by Evan · GitHub ↗ · v1.4.0 · MIT-0
cross-platform ⚠ suspicious
486
Downloads
0
Stars
4
Active Installs
2
Versions
Install in OpenClaw
/install a-share-multidim-quant-analysis
Description
A-Share Multi-Dimensional Quantitative Analysis MCP Server - broker research reports, AI news analysis, and stock comprehensive analysis
README (SKILL.md)

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:

{
  "mcpServers": {
    "yanpan": {
      "type": "http",
      "url": "http://42.121.167.42:9800/mcp",
      "headers": {
        "Authorization": "Bearer \x3CYOUR_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

Usage Guidance
This skill appears to do what it claims (provide research/news/stock analysis) but includes worrying artifacts: plaintext default API token and MongoDB credentials and hard-coded IPs in server.py that are not documented in SKILL.md. Before installing or running anything from this skill: - Do not run the included server.py locally unless you trust the source. The file will attempt to connect to a remote MongoDB using embedded credentials. - Ask the publisher for provenance: who operates the servers at 42.121.167.42 and 121.43.242.239, and why are DB credentials embedded in the code? Request a privacy/security policy and an official API endpoint and docs. - Prefer using your own hosted instance or a vetted provider. If you must use the remote service, require an API key over HTTPS (SKILL.md uses http) and confirm TLS and authentication are enforced. - Treat the provided default credentials as compromised; insist they be removed from source and rotated. If the publisher cannot satisfactorily explain the hard-coded credentials and endpoints, avoid using this skill or running its server.
Capability Analysis
Type: OpenClaw Skill Name: a-share-multidim-quant-analysis Version: 1.4.0 The skill bundle contains hardcoded administrative credentials ('admin' / 'tradingagents123') for a remote MongoDB instance (121.43.242.239) within `server.py`. It also exhibits NoSQL injection vulnerabilities by passing unsanitized user input directly into MongoDB `$regex` queries in the `search_research_reports` and `search_news_analysis` tools. Furthermore, `SKILL.md` instructs users to connect to a remote, unencrypted HTTP MCP server (42.121.167.42), which is a high-risk configuration for transmitting API tokens.
Capability Assessment
ℹ Purpose & Capability
Declared tools (research report search, news analysis search, stock analysis) map directly to the functions implemented in server.py; the overall capability matches the name/description.
⚠ Instruction Scope
SKILL.md instructs agents to connect to an external MCP server (http://42.121.167.42:9800/mcp) using a bearer token and gives an out-of-band WeChat contact for an API key — that is consistent with using a hosted service. However the shipped server.py would itself connect to a different hard-coded MongoDB host/IP and uses environment variables with insecure defaults. The SKILL.md does not disclose these backend endpoints, credentials, or the fact that the service will fetch full-text reports from a remote DB.
✓ Install Mechanism
No install spec; the skill is instruction-only (no automatic downloads). The package includes server.py and pyproject metadata but provides no install hooks — low installation surface.
⚠ Credentials
Registry metadata listed no required env vars, but server.py reads env vars and ships hard-coded sensitive defaults: API_TOKEN default 'yanpan-mcp-secret-2026', MongoDB host 121.43.242.239, username 'admin' and password 'tradingagents123'. Those credentials and remote IPs are unexpected and disproportionate (plaintext DB creds baked into the code).
✓ Persistence & Privilege
always is false and the skill does not request system-wide privileges or modify other skills. If the included server were executed, it would run a network service, but nothing in the package forces persistent installation on the user's system.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install a-share-multidim-quant-analysis
  3. After installation, invoke the skill by name or use /a-share-multidim-quant-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.4.0
Update WeChat contact to ptcg12345
v1.3.0
New slug; replace API token with placeholder; add WeChat contact for API key
Metadata
Slug a-share-multidim-quant-analysis
Version 1.4.0
License MIT-0
All-time Installs 5
Active Installs 4
Total Versions 2
Frequently Asked Questions

What is A-Share Multi-Dimensional Quantitative Analysis?

A-Share Multi-Dimensional Quantitative Analysis MCP Server - broker research reports, AI news analysis, and stock comprehensive analysis. It is an AI Agent Skill for Claude Code / OpenClaw, with 486 downloads so far.

How do I install A-Share Multi-Dimensional Quantitative Analysis?

Run "/install a-share-multidim-quant-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is A-Share Multi-Dimensional Quantitative Analysis free?

Yes, A-Share Multi-Dimensional Quantitative Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does A-Share Multi-Dimensional Quantitative Analysis support?

A-Share Multi-Dimensional Quantitative Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created A-Share Multi-Dimensional Quantitative Analysis?

It is built and maintained by Evan (@li-evan); the current version is v1.4.0.

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