# stock-mcp-server

> Use this tool when you need to access real-time A-share stock data for informed decision-making or market analysis. It provides accurate and validated stock prices, K-line data, financial indicators, and sector fund flow analysis for the Chinese A-share market. Ideal for AI assistants requiring reliable market data to solve use cases such as portfolio optimization, risk assessment, and investment strategy development.

Canonical page: https://skillsregistry.net/skills/niuheilong-stock-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/niuheilong-stock-mcp-server

## Description

Real-time A-share stock data for AI assistants. Provides real-time stock prices, K-line data, financial indicators, and sector fund flow analysis for Chinese A-share market. Multi-source data validation ensures accuracy.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ds4gp0bemw)
- **Repository:** <https://github.com/niuheilong/stock-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "niuheilong-stock-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/niuheilong-stock-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/niuheilong-stock-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt