R

Remote MCP Azure Function

This project implements an MCP service based on Azure Functions, serving as a bridge between AI agents and the AlphaVantage financial API, providing access to financial data such as company overviews and financial statements.
2.5 points
10

What is the AlphaVantage MCP Server?

This is a middleware service built on Azure Functions, serving as a bridge between AI agents and the AlphaVantage financial data API. It transforms complex financial APIs into standardized tool interfaces that can be easily called by AI agents through the Model Context Protocol (MCP).

How to use this service?

You can connect your AI agent via the deployed MCP endpoint URL or use our provided sample agent for testing. The service will automatically handle the complex interactions with the AlphaVantage API, and you only need to send simple query requests.

Applicable scenarios

Suitable for AI application scenarios that require real - time financial data support, such as fintech applications like automatic financial analysis, investment decision - making support, and corporate earnings report summary generation.

Main features

Company overview queryGet basic information, business descriptions, and key financial indicators of listed companies.
Financial statement querySupport queries for the three major financial statements (balance sheet, income statement, cash flow statement).
Earnings report analysisGet a company's historical earnings data and analyst expectation information.
Cloud deploymentBased on the Serverless architecture of Azure Functions, with automatic scaling of processing capabilities.

Advantages and limitations

Advantages
Simplify the complexity of financial API integration. AI agents do not need to directly handle the original APIs.
Standardize the data output format for easy parsing and processing by AI agents.
Rely on Azure's reliable infrastructure to ensure service availability.
Support local development and testing for easy debugging.
Limitations
Dependent on the free call limit of the AlphaVantage API.
Require basic Azure deployment knowledge for customized configuration.
Currently only support English data return.

How to use

Get an API key
Go to the AlphaVantage official website to register and get a free API key.
Configure the environment
Set the local.settings.json file or Azure environment variables.
Deploy the service
Use the Azure Developer CLI to deploy to the cloud.
Get the MCP endpoint
Query the Function App key through the Azure CLI and build the complete endpoint URL.

Usage examples

Company financial health analysisThe AI agent automatically generates a financial health assessment report by combining queries for company overview and the three major statement data.
Quarterly earnings forecastBased on historical earnings data and current analyst expectations, predict the company's earnings for the next quarter.

Frequently Asked Questions

Is it necessary to pay for use?
Which stock exchanges' data are supported?
How to improve the query speed?

Related resources

AlphaVantage official documentation
Complete API reference documentation and data field descriptions.
Azure Functions Python development guide
Microsoft's official Python function development documentation.
Sample agent code repository
Contains the implementation code of a complete sample agent.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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