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io.github.houtini-ai/fmp

Access financial data and market information via Financial Modeling Prep API

Open source Open in the app JSON README (API)

About

Access financial data and market information via Financial Modeling Prep API

Details

Kind
MCP servers
Topic
Finance & crypto
Publisher
houtini-ai
Origin
official
Category
ferramentas
Transport
local
Version
1.1.8
Stars
2
Last push
2026-08-17T14:20:08Z
Repository state
ativo
Language
JavaScript
License
MIT
Added
2026-08-29 04:00:08
Updated
2026-08-29 04:00:08
Origin id
io.github.houtini-ai/fmp

README

# Financial Modeling Prep MCP Server

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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)

Model Context Protocol (MCP) server providing access to Financial Modeling Prep's comprehensive financial data API. Get real-time stock quotes, company fundamentals, financial statements, market insights, analyst data, and technical indicators directly in Claude Desktop.

<p align="center">
  <a href="https://glama.ai/mcp/servers/@houtini-ai/fmp-mcp">
    <img width="380" height="200" src="https://glama.ai/mcp/servers/@houtini-ai/fmp-mcp/badge" alt="Financial Modeling Prep MCP server" />
  </a>
</p>

> **Quick Navigation**
>
> [Features](#features) | [Installation](#installation) | [Tools](#available-tools) | [Usage examples](#usage-examples) | [API rate limits](#api-rate-limits) | [Development](#development) | [Troubleshooting](#troubleshooting)

## Features

- **Real-time Market Data**: Live stock quotes with price, volume, and market metrics
- **Company Information**: Detailed profiles including industry, sector, and key executives
- **Financial Statements**: Income statements, balance sheets, and cash flow statements
- **Market Performance**: Track gainers, losers, most active stocks, and sector performance
- **Analyst Data**: Price targets, estimates, ratings, and upgrades/downgrades
- **Insider Trading**: Monitor insider transactions and institutional holdings
- **Technical Indicators**: RSI, SMA, EMA with multiple timeframes
- **Economic Data**: GDP, unemployment, inflation, treasury rates, and economic calendar
- **Historical Charts**: Intraday data from 1-minute to 4-hour intervals
- **Symbol Search**: Find companies by name or ticker across global exchanges

## Installation

### Prerequisites

- [Claude Desktop](https://claude.ai/download)
- Node.js 18 or higher
- Financial Modeling Prep API key ([Get one here](https://financialmodelingprep.com/developer/docs))

### Quick Start with NPX

Add to your Claude Desktop configuration file:

**macOS**: `~/Library/Application Support/Claude/claude_desktop_config.json`  
**Windows**: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "financial-modeling-prep": {
      "command": "npx",
      "args": [
        "-y",
        "@houtini/fmp-mcp"
      ],
      "env": {
        "FMP_API_KEY": "your_api_key_here"
      }
    }
  }
}
```

Replace `your_api_key_here` with your actual API key from Financial Modeling Prep.

**Important**: Restart Claude Desktop completely after updating the configuration.

### Claude Code (CLI)

Claude Code uses a different registration mechanism -- it doesn't read `claude_desktop_config.json`. Use `claude mcp add` instead:

```bash
claude mcp add -e FMP_API_KEY=your_api_key_here -s user financial-modeling-prep -- npx -y @houtini/fmp-mcp
```

Verify with:

```bash
claude mcp get financial-modeling-prep
```

You should see `Status: Connected`.

## Available Tools

### Core Market Data

#### `get_quote`
Get real-time stock quote data.

**Parameters:**
- `symbol` (required): Stock ticker symbol (e.g., AAPL, TSLA, MSFT)

**Returns:** Current price, volume, market cap, P/E ratio, day high/low, and more.

#### `search_symbol`
Search for stock symbols by company name or ticker.

**Parameters:**
- `query` (required): Search query (company name or partial ticker)

**Returns:** Matching symbols with company names and exchange information.

### Company Fundamentals

#### `get_company_profile`
Get detailed company profile and fundamental data.

**Parameters:**
- `symbol` (required): Stock ticker symbol

**Returns:** Company description, industry, sector, CEO, employee count, headquarters, website, and key financial metrics.

#### `get_income_statement`
Retrieve company income statement data.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 5)

**Returns:** Revenue, expenses, net income, EPS, and other profitability metrics.

#### `get_balance_sheet`
Retrieve company balance sheet data.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 5)

**Returns:** Assets, liabilities, shareholder equity, and detailed line items.

#### `get_cash_flow`
Retrieve company cash flow statement data.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 5)

**Returns:** Operating cash flow, investing activities, financing activities, and free cash flow.

#### `get_key_metrics`
Get key financial metrics and ratios.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 5)

**Returns:** P/E ratio, ROE, ROA, debt ratios, current ratio, and more.

#### `get_financial_ratios`
Get detailed financial ratios (profitability, liquidity, efficiency).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 5)

**Returns:** Comprehensive ratio analysis including profitability, liquidity, and efficiency metrics.

### Market Performance

#### `get_market_gainers`
Get stocks with the largest price increases.

**Parameters:** None

**Returns:** Top gaining stocks with price changes and volume.

#### `get_market_losers`
Get stocks with the largest price drops.

**Parameters:** None

**Returns:** Top losing stocks with price changes and volume.

#### `get_most_active`
Get most actively traded stocks by volume.

**Parameters:** None

**Returns:** Stocks with highest trading volume.

#### `get_sector_performance`
Get current sector performance snapshot.

**Parameters:**
- `date` (optional): Date in YYYY-MM-DD format (defaults to latest)

**Returns:** Performance metrics for all market sectors.

### Analyst Data

#### `get_analyst_estimates`
Get analyst financial estimates (revenue, EPS forecasts).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `period` (optional): "annual" or "quarter" (default: "annual")
- `limit` (optional): Number of periods to return (default: 10)

**Returns:** Analyst revenue and earnings estimates with consensus figures.

#### `get_price_target`
Get analyst price target summary.

**Parameters:**
- `symbol` (required): Stock ticker symbol

**Returns:** Average, high, low, and median price targets from analysts.

#### `get_analyst_ratings`
Get analyst ratings and upgrades/downgrades.

**Parameters:**
- `symbol` (required): Stock ticker symbol

**Returns:** Recent analyst rating changes, upgrades, downgrades, and recommendations.

### Insider Trading & Institutional

#### `get_insider_trading`
Get recent insider trading activity.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `limit` (optional): Number of transactions to return (default: 100)

**Returns:** Insider buy/sell transactions with names, dates, and amounts.

#### `get_institutional_holders`
Get institutional ownership (13F filings).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `limit` (optional): Number of holders to return (default: 100)

**Returns:** Top institutional holders with share counts and filing dates.

### Technical Indicators

#### `get_technical_indicator_rsi`
Get Relative Strength Index (RSI).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `timeframe` (required): "1min", "5min", "15min", "30min", "1hour", "4hour", "1day"
- `period` (optional): Period length (default: 14)

**Returns:** RSI values with timestamps for momentum analysis.

#### `get_technical_indicator_sma`
Get Simple Moving Average (SMA).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `timeframe` (required): "1min", "5min", "15min", "30min", "1hour", "4hour", "1day"
- `period` (optional): Period length (default: 10)

**Returns:** SMA values with timestamps for trend analysis.

#### `get_technical_indicator_ema`
Get Exponential Moving Average (EMA).

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `timeframe` (required): "1min", "5min", "15min", "30min", "1hour", "4hour", "1day"
- `period` (optional): Period length (default: 10)

**Returns:** EMA values with timestamps for trend analysis.

### Historical Data

#### `get_historical_chart`
Get historical price data with flexible time intervals.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `interval` (required): "1min", "5min", "15min", "30min", "1hour", "4hour"
- `from` (optional): Start date in YYYY-MM-DD format
- `to` (optional): End date in YYYY-MM-DD format

**Returns:** OHLC price data with volume for the specified interval.

### Economic Data

#### `get_economic_calendar`
Get upcoming economic data releases calendar.

**Parameters:**
- `from` (optional): Start date in YYYY-MM-DD format
- `to` (optional): End date in YYYY-MM-DD format

**Returns:** Scheduled economic announcements with dates and expected impact.

#### `get_economic_indicator`
Get economic indicator data (GDP, unemployment, inflation, etc.).

**Parameters:**
- `name` (required): Indicator name (e.g., "GDP", "unemploymentRate", "CPI")
- `from` (optional): Start date in YYYY-MM-DD format
- `to` (optional): End date in YYYY-MM-DD format

**Returns:** Historical values for the specified economic indicator.

### Events & Calendars

#### `get_earnings_calendar`
Get upcoming earnings announcements calendar.

**Parameters:**
- `from` (optional): Start date in YYYY-MM-DD format
- `to` (optional): End date in YYYY-MM-DD format

**Returns:** Upcoming earnings dates with EPS estimates.

### Index Data

#### `get_sp500_constituents`
Get list of S&P 500 index constituents.

**Parameters:** None

**Returns:** All companies in the S&P 500 with symbols and details.

### News (Paid Feature)

#### `get_stock_news`
Get latest news articles for a stock.

**Parameters:**
- `symbol` (required): Stock ticker symbol
- `limit` (optional): Number of articles to return (default: 10)

**Returns:** News headlines, publication dates, URLs, and article summaries.

**Note:** This endpoint requires a paid FMP plan.

## Usage Examples

Once installed, you can interact with the MCP server directly through Claude Desktop:

```
Get a quote for Apple stock
```

```
Show me Tesla's quarterly income statements for the last 8 quarters
```

```
What are today's biggest market gainers?
```

```
Get analyst price targets for NVIDIA
```

```
Show me insider trading activity for Microsoft
```

```
Calculate the 14-day RSI for TSLA on the daily timeframe
```

```
What's the current sector performance?
```

```
Get upcoming earnings announcements for this week
```

```
Show me institutional holders of Amazon
```

## API Rate Limits

Financial Modeling Prep offers different pricing tiers:

- **Free Tier**: 250 requests/day
- **Starter**: 500 requests/day  
- **Professional**: 1,000+ requests/day

See [FMP Pricing](https://financialmodelingprep.com/developer/docs/pricing) for current plans and limits.

## Development

### Local Installation

```bash
git clone https://github.com/houtini-ai/fmp-mcp.git
cd fmp-mcp
npm install
npm run build
```

### Claude Desktop Configuration for Local Development

```json
{
  "mcpServers": {
    "financial-modeling-prep": {
      "command": "node",
      "args": [
        "/absolute/path/to/fmp-mcp/build/index.js"
      ],
      "env": {
        "FMP_API_KEY": "your_api_key_here"
      }
    }
  }
}
```

### Building

```bash
npm run build
```

Output goes to the `build/` directory.

## API Coverage

This MCP server implements 29 endpoints from the Financial Modeling Prep API:

**Core Market Data** (3)
- Stock quotes, symbol search, company profiles

**Financial Statements** (6)
- Income statement, balance sheet, cash flow, key metrics, financial ratios (annual & quarterly)

**Market Performance** (4)
- Gainers, losers, most active, sector performance

**Analyst Data** (3)
- Estimates, price targets, ratings

**Insider & Institutional** (2)
- Insider trading, institutional holders

**Technical Indicators** (3)
- RSI, SMA, EMA with multiple timeframes

**Historical Data** (1)
- Intraday charts (1min to 4hour)

**Economic Data** (2)
- Economic calendar, economic indicators

**Events & Calendars** (1)
- Earnings calendar

**Index Data** (1)
- S&P 500 constituents

**News** (1)
- Stock news (paid feature)

For the complete API reference, see the [FMP Developer Documentation](https://site.financialmodelingprep.com/developer/docs).

## Troubleshooting

### MCP Server Not Appearing in Claude Desktop

1. Verify your `claude_desktop_config.json` syntax is valid JSON
2. Check that the `FMP_API_KEY` environment variable is set
3. Restart Claude Desktop completely (quit from system tray/menu bar)
4. Check Claude Desktop logs for error messages

### API Authentication Errors

If you see `403 Forbidden` errors:
- Verify your API key is correct
- Check you haven't exceeded your rate limit
- Ensure your API key has the required permissions

### Tool Execution Failures

- Verify the stock symbol exists (use `search_symbol` first)
- Check your internet connection
- Verify FMP API is operational at [status.financialmodelingprep.com](https://financialmodelingprep.com)

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

MIT License - see [LICENSE](LICENSE) file for details.

## Resources

- [Financial Modeling Prep API](https://financialmodelingprep.com)
- [MCP Documentation](https://modelcontextprotocol.io)
- [Claude Desktop](https://claude.ai/download)

## Acknowledgments

Built with the [Model Context Protocol SDK](https://github.com/modelcontextprotocol/sdk) by Anthropic.

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