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ranveer0323

Alpha Vantage Stock Analysis MCP Server

by ranveer0323
README.md
# Alpha Vantage Stock MCP Server

This is a Model Context Protocol (MCP) server that provides stock market data from Alpha Vantage API. It allows Claude and other MCP clients to access real-time and historical stock data.

<a href="https://glama.ai/mcp/servers/1ujui2kmxd">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/1ujui2kmxd/badge" alt="Alpha Vantage Stock Server MCP server" />
</a>

## Features

- Get intraday stock data with customizable intervals
- Get daily stock data
- Generate stock alerts based on price movements
- Access stock data as resources

## Prerequisites

- Node.js 16 or higher
- An Alpha Vantage API key (get one for free at [Alpha Vantage](https://www.alphavantage.co/support/#api-key))

## Installation

1. Clone this repository
2. Install dependencies:
   ```
   npm install
   ```
3. Create a `.env` file in the root directory and add your Alpha Vantage API key:
   ```
   ALPHA_VANTAGE_API_KEY=your_api_key_here
   ```

## Building and Running

Build the TypeScript code:
```
npm run build
```

Run the server:
```
npm start
```

For development with auto-reloading:
```
npm run dev
```

Test the API client:
```
npm test
```

## Using with Claude for Desktop

To use this MCP server with Claude for Desktop:

1. Open Claude for Desktop
2. Go to Settings > Developer > Edit Config
3. Add the following to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "alpha-vantage": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": {
        "ALPHA_VANTAGE_API_KEY": "YOUR_API_KEY"
      } 
    }
  }
}
```

Replace `/absolute/path/to/dist/index.js` with the absolute path to the built index.js file.

4. Restart Claude for Desktop

## Available Tools

### get-stock-data

Gets intraday stock data for a specific symbol.

Parameters:
- `symbol` (required): Stock symbol (e.g., IBM, AAPL)
- `interval` (optional): Time interval between data points (1min, 5min, 15min, 30min, 60min). Default: 5min
- `outputsize` (optional): Amount of data to return (compact: latest 100 data points, full: up to 20 years of data). Default: compact

### get-daily-stock-data

Gets daily stock data for a specific symbol.

Parameters:
- `symbol` (required): Stock symbol (e.g., IBM, AAPL)
- `outputsize` (optional): Amount of data to return (compact: latest 100 data points, full: up to 20 years of data). Default: compact

### get-stock-alerts

Analyzes stock data to generate alerts based on price movements.

Parameters:
- `symbol` (required): Stock symbol (e.g., IBM, AAPL)
- `threshold` (optional): Percentage threshold for price movement alerts. Default: 5

## Available Resources

### stock-data

Access stock data directly as a resource.

URI Template: `stock://{symbol}/{interval}`

Parameters:
- `symbol`: Stock symbol (e.g., IBM, AAPL)
- `interval`: Time interval (daily, 1min, 5min, 15min, 30min, 60min). Default: daily

Example usage in Claude:
- "Can you analyze this stock data: stock://AAPL/daily"
- "What do you think about this data: stock://MSFT/5min"

## License

MIT 

TDQS

D1.3/5.0

Scored across 3 tools

Disambiguation1/5

The tools are highly ambiguous and overlapping. 'get-daily-stock-data' and 'get-stock-data' appear to serve nearly identical purposes, with no description to clarify differences. 'get-stock-alerts' might be distinct but lacks context, making it unclear how it differs from the data retrieval tools. This setup will likely cause frequent agent misselection.

Naming Consistency4/5

The naming follows a consistent pattern with kebab-case and a 'get-' verb prefix across all tools, which is predictable and readable. However, the lack of descriptions prevents full evaluation of semantic consistency, but structurally, the naming is uniform.

Tool Count2/5

With only 3 tools, this server feels under-scoped for a stock analysis domain, which typically requires more operations like historical data, indicators, or portfolio management. The count is too low to provide comprehensive coverage, limiting agent capabilities.

Completeness1/5

The tool set is severely incomplete for stock analysis. It lacks essential operations such as intraday data, technical indicators, company fundamentals, or search functions. With only basic data retrieval and alerts, agents will face dead ends and cannot perform meaningful analysis.

Maintenance

ActivityInactive
ResponsivenessNo issues