by xbluecode
Get real-time stock price for NVDA, NVIDIA, and AMA plus historical data for market research via Alpha Vantage Financial
Retrieves real-time stock quotes and historical price data from Alpha Vantage API for financial analysis.
Alpha Vantage Financial Data is a community-built MCP server published by xbluecode that provides AI assistants with tools and capabilities via the Model Context Protocol. Get real-time stock price for NVDA, NVIDIA, and AMA plus historical data for market research via Alpha Vantage Financial It is categorized under finance, analytics data.
You can install Alpha Vantage Financial Data in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Alpha Vantage Financial Data is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Alpha Vantage Financial Data is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Alpha Vantage Financial Data has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Alpha Vantage Financial Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Alpha Vantage Financial Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Alpha Vantage Financial Data is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
According to our notes, Alpha Vantage Financial Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Alpha Vantage Financial Data against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Alpha Vantage Financial Data benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Alpha Vantage Financial Data for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Alpha Vantage Financial Data reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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This is an MCP server that provides access to the Alpha Vantage API, allowing stock data retrieval to be used as context to LLMs.
<a href="https://glama.ai/mcp/servers/czslwc47w9"><img width="380" height="200" src="https://glama.ai/mcp/servers/czslwc47w9/badge" alt="findata-mcp-server MCP server" /></a>
getStockQuote: Get the current quote for a stock.getHistoricalData: Get historical data for a stock (daily, weekly, or monthly).To install Financial Data Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install findata-mcp-server --client claude
npm install findata-mcp-server
Obtain an API key from Alpha Vantage https://www.alphavantage.co/support/#api-key.
Configure your MCP client (e.g., Claude Desktop) to connect to the server:
{
"mcpServers": {
"alphaVantage": {
"command": "npx",
"args": ["-y", "findata-mcp-server"],
"env": {
"ALPHA_VANTAGE_API_KEY": "PUT_YOUR_API_KEY_HERE"
}
}
}
}
getStockQuoteGet the current quote for a stock.
Input:
symbol: The stock symbol (e.g., AAPL)
Output Example:
getHistoricalDataGet historical data for a stock.
Input:
symbol: the stock symbol (e.g., AAPL)interval: the time interval for the data (daily, weekly, or monthly) (optional, default: daily)outputsize: the size of the output (compact or full) (optional, default: compact)
Output:JSON object containing the historical data. The structure of the output depends on the interval parameter.
Contributions are welcome! Please open an issue or pull request.
MIT
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.