# FinanceMCP-DCTHS

> Use this tool when you need to access comprehensive financial data, including sector indexes, market trends, and constituent stock information, to inform investment decisions or analyze market performance. It solves problems related to data retrieval and integration, providing a unified interface for querying industry and concept block information. The tool accepts queries through stdio or HTTP modes and returns relevant financial data, making it suitable for applications requiring real-time market insights.

Canonical page: https://skillsregistry.net/skills/guangxiangdebizi-financemcp-dcths  
JSON: https://api.skillsregistry.net/v1/skills/guangxiangdebizi-financemcp-dcths

## Description

A financial data server integrating Tushare API to provide sector indexes, market trends, and constituent stock data from East Money and Flush. It enables MCP-compatible clients to query comprehensive industry and concept block information through stdio or HTTP modes.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fa2myquabm)
- **Repository:** <https://github.com/guangxiangdebizi/FinanceMCP-DCTHS>

## 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": "guangxiangdebizi-financemcp-dcths"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guangxiangdebizi-financemcp-dcths` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guangxiangdebizi-financemcp-dcths/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
