Financial Data - MCP Server
by xBlueCode
This is an MCP server that provides access to the Alpha Vantage API, allowing stock data retrieval to be used as context to LLMs.
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What is Financial Data - MCP Server?
The Financial Data - MCP Server is a server that provides access to financial data from the Alpha Vantage API. It allows users to retrieve stock quotes and historical data, which can be used as context for Large Language Models (LLMs).
How to use Financial Data - MCP Server?
- Obtain an API key from Alpha Vantage. 2. Install the server using Smithery or manually via npm. 3. Configure your MCP client (e.g., Claude Desktop) to connect to the server, providing the API key in the environment variables.
Key features of Financial Data - MCP Server
getStockQuote: Get the current quote for a stock.
getHistoricalData: Get historical data for a stock (daily, weekly, or monthly).
Easy installation via Smithery or npm
Integration with MCP clients like Claude Desktop
Use cases of Financial Data - MCP Server
Providing real-time stock data to LLMs for financial analysis.
Retrieving historical stock data for training and fine-tuning financial models.
Integrating financial data into chatbot applications.
Automating financial reporting and analysis.
FAQ from Financial Data - MCP Server
What API key do I need?
What API key do I need?
You need an API key from Alpha Vantage (https://www.alphavantage.co/support/#api-key).
How do I install the server?
How do I install the server?
You can install it via Smithery using the command npx -y @smithery/cli install findata-mcp-server --client claude or manually using npm install findata-mcp-server.
How do I configure my MCP client?
How do I configure my MCP client?
You need to configure your MCP client to connect to the server and provide the Alpha Vantage API key in the environment variables. See the example configuration in the README.
What data intervals are supported for historical data?
What data intervals are supported for historical data?
The server supports daily, weekly, and monthly intervals for historical data.
What other tools will be added?
What other tools will be added?
More tools will be added later for technical analysis, company overview, etc.