Findata MCP Server
An MCP server that provides stock data via the Alpha Vantage API, offering financial data context for LLMs.
rating : 2.5 points
downloads : 19
What is the Financial Data - MCP Server?
This is a server based on the Model Context Protocol (MCP) that allows you to access stock data through the Alpha Vantage API, providing context support for LLMs (Large Language Models).How to use the Financial Data - MCP Server?
Simply configure the API key and start the server to begin querying real-time stock prices and historical data.Applicable Scenarios
Suitable for individual investors or corporate users who need real-time stock market analysis, investment decision support, and financial modeling.Main Features
Get Real-time Stock QuotesEnter the stock symbol to immediately return the current price information of the stock.
Get Historical DataRetrieve historical data of the specified stock at daily, weekly, or monthly intervals.
Advantages and Limitations
Advantages
Real-time updated stock data
Support for data queries at multiple time intervals
Easy integration into existing MCP systems
Limitations
The free version of the API has request frequency limits
Advanced features require subscribing to the Alpha Vantage paid plan
How to Use
Register for an Alpha Vantage API Key
Visit the Alpha Vantage official website to register an account and apply for an API key.
Install the Server
Install the server via the Smithery tool or manually.
Configure Environment Variables
Set the Alpha Vantage API key in the MCP client.
Usage Examples
Query the Real-time Stock Price of Apple Inc.Get the latest stock price of Apple Inc. by entering the stock symbol AAPL.
Get the Historical Weekly Data of AmazonQuery the weekly historical data of Amazon (AMZN) in the past year.
Frequently Asked Questions
How to register for an Alpha Vantage API key?
Does the server support data queries at other time intervals?
Does the free version of the API have a limit on the number of requests?
Related Resources
Alpha Vantage Official Website
The official website of the Alpha Vantage API service provider.
Smithery Tool
A tool for quickly installing and managing MCP servers.
GitHub Code Repository
The open-source code repository for this project.
Featured MCP Services

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
87
4.3 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points