# Financial Stock Market MCP Server

> Use this tool when you need to retrieve and analyze stock market data, or compare historical market trends. It provides a secure interface for fetching stock data and performing analysis, while blocking restricted content like investment advice. Ideal for applications requiring reliable and guarded financial data interactions, with inputs including stock symbols and date ranges, and outputs featuring detailed market data and analysis results.

Canonical page: https://skillsregistry.net/skills/nataliecheong-mcp-for-simple-financial-stock-market  
JSON: https://api.skillsregistry.net/v1/skills/nataliecheong-mcp-for-simple-financial-stock-market

## Description

Provides tools for stock data retrieval, historical analysis, and market comparison using yfinance. It features robust guardrails to ensure secure interactions and blocks restricted content like investment advice.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/odgt4467vu)
- **Repository:** <https://github.com/NatalieCheong/MCP_for_Simple_Financial_Stock_Market>

## 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": "nataliecheong-mcp-for-simple-financial-stock-market"
    }
  }
}
```

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