# Stock Analysis MCP Server

> Use this tool when you need to analyze stock market data and make informed investment decisions. It provides core functionality for evaluating concept sector strength, financial indicators, and market emotion indicators, accepting stock market data as input and outputting actionable insights. Ideal for use in financial analysis and portfolio management contexts, the Stock Analysis MCP Server helps solve problems related to investment research and risk assessment.

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

## Description

A FastMCP-based server that provides tools for analyzing stock market data, including concept sector strength, financial indicators, F10 information, market emotion indicators, and tracking limit-up stocks.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **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/kcecpqenht)
- **Repository:** <https://github.com/ParseDark/mcp_stock>

## 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": "parsedark-mcp-stock"
    }
  }
}
```

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