# financial-data-mcp-server

> financial-data-mcp-server — fifah123-mcp-chat-with-financial-data. Use this tool when you need to access real-time financial data and metrics to answer questions about stocks and financial markets. It solves problems such as stock searches, company information retrieval, and historical price analysis by providing tools that fetch data from Yahoo Finance. The server takes natural-language queries as input and returns relevant financial data as output, making it ideal for AI agents that require up-to-date financial information.

Canonical page: https://skillsregistry.net/skills/fifah123-mcp-chat-with-financial-data  
JSON: https://api.skillsregistry.net/v1/skills/fifah123-mcp-chat-with-financial-data

## Description

An MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wogp8r1xjf)
- **Repository:** <https://github.com/fifah123/mcp-chat-with-financial-data>

## 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": "fifah123-mcp-chat-with-financial-data"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fifah123-mcp-chat-with-financial-data` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fifah123-mcp-chat-with-financial-data/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