Alpha Vantage MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| ALPHA_VANTAGE_API_KEY | Yes | Your Alpha Vantage API key required for accessing financial data |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Server capabilities have not been inspected yet.
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_stock_priceC | Get real-time stock price information |
| get_company_overviewC | Get company information and key metrics |
| get_daily_time_seriesC | Get daily time series data for a stock |
| get_weekly_time_seriesC | Get weekly time series data for a stock |
| get_forex_rateC | Get exchange rate for currency pairs |
| get_crypto_priceC | Get cryptocurrency prices |
| get_technical_indicatorC | Get technical indicators for a stock |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 7 tools
Each tool has a clearly distinct purpose targeting different financial data types: company overview, crypto prices, daily stock series, forex rates, stock prices, technical indicators, and weekly stock series. There is no overlap in functionality, making tool selection straightforward for an agent.
All tools follow a consistent verb_noun pattern with 'get_' prefix followed by a descriptive noun phrase (e.g., get_company_overview, get_crypto_price). This uniformity enhances predictability and readability across the toolset.
With 7 tools, the server is well-scoped for providing financial data from Alpha Vantage. Each tool serves a specific, non-overlapping function, and the count is neither too sparse nor excessive for the domain of financial market data retrieval.
The toolset covers core financial data types including stocks, forex, crypto, and technical indicators, with both real-time and time-series data. A minor gap is the lack of intraday or monthly time series tools, but agents can work around this using the available daily and weekly options.