# Finance Intelligence MCP Server

> Finance Intelligence MCP Server — menlopy-finance-intelligence-mcp. Use this tool when you need to integrate real-time financial market data into your AI applications, providing accurate and up-to-date company metrics and historical prices to inform investment decisions and market analysis. It solves problems related to data sourcing and market research, offering a reliable interface for AI assistants to access financial information. With inputs from yfinance and outputs via FastMCP, it streamlines financial data retrieval and processing in various contexts, such as portfolio management and risk assessment.

Canonical page: https://skillsregistry.net/skills/menlopy-finance-intelligence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/menlopy-finance-intelligence-mcp

## Description

A production-grade MCP server that provides AI assistants with real-time financial market data, company metrics, and historical prices using yfinance and FastMCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fsnu2b2b72)
- **Repository:** <https://github.com/menlopy/finance-intelligence-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": "menlopy-finance-intelligence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/menlopy-finance-intelligence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/menlopy-finance-intelligence-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