# Gangtise Ultra MCP Server

> Use this tool when you need to access and analyze Hong Kong stock market data and research reports. It solves problems related to investment research and market sentiment analysis by providing standardized data access, intelligent searching, and preset analysis templates. The tool takes in queries and search parameters as inputs and outputs relevant market data, research reports, and analysis results.

Canonical page: https://skillsregistry.net/skills/hanlinlibham-gangtise-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hanlinlibham-gangtise-mcp

## Description

Provides standardized access to Hong Kong stock market data and professional research reports, including broker insights and company notices. It enables intelligent searching, batch queries, and preset analysis templates for market sentiment and investment logic.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sa2gk1n577)
- **Repository:** <https://github.com/hanlinlibham/gangtise_mcp>

## 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": "hanlinlibham-gangtise-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hanlinlibham-gangtise-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hanlinlibham-gangtise-mcp/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