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AlphaVantage MCP Server with Azure Functions

@dsaad68

Repository

Basic information

Category

Cloud & Infrastructure

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stdio

Author

dsaad68

About AlphaVantage MCP Server with Azure Functions

A demo to showcase a MCP Server with Azure Functions

#python#azure#mcp#azure-functions#financial-analysis

AlphaVantage MCP Server with Azure Functions config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "remote-mcp-azure-function": {
      "command": "uv",
      "args": [
        "sync",
        "--frozen"
      ]
    }
  }
}

AlphaVantage MCP Server with Azure Functions tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AlphaVantage MCP Server with Azure Functions?

The AlphaVantage MCP Server with Azure Functions is an Azure Function that acts as a bridge between an AI agent (via the Model Context Protocol) and the AlphaVantage Financial API. It exposes financial data endpoints as MCP tools, enabling AI agents to retrieve company financials and perform analysis.

How to use AlphaVantage MCP Server with Azure Functions?

Clone the repository, create a virtual environment with uv sync --frozen, and add your AlphaVantage API key to a local.settings.json file in the src directory. Run locally with cd src && func start. For deployment, use azd up after logging in with azd auth login. After deployment, retrieve your MCP endpoint URL by fetching the Azure Functions MCP extension system key.

Key features of AlphaVantage MCP Server with Azure Functions

  • Exposes five financial data endpoints as MCP tools
  • Provides company overview, income statement, balance sheet, cash flow, and earnings report
  • Easy local development with Azure Functions Core Tools
  • Simple deployment to Azure using Azure Developer CLI (azd)
  • Includes a demo agent using the Agno framework
  • Supports VS Code integration for MCP development

Use cases of AlphaVantage MCP Server with Azure Functions

  • AI agents retrieving real-time financial statements for analysis
  • Automating fundamental research on public companies
  • Building conversational financial assistants with natural language queries
  • Testing MCP endpoints locally before deploying to Azure

Frequently asked questions

1

What prerequisites are needed?

You need an Azure subscription, Azure Developer CLI, Azure Functions Core Tools, Python 3.11, and an AlphaVantage API key.

2

How do I deploy the server to Azure?

Log in with `azd auth login`, then run `azd up`. This provisions Azure resources and deploys the Function App.

3

How do I get the MCP endpoint URL after deployment?

Run `az functionapp keys list --resource-group <resource_group> --name <function_app_name>` and use the returned MCP extension system key in the URL `https://<funcappname>.azurewebsites.net/runtime/webhooks/mcp/sse?code=<your-mcp-extension-system-key>`.

4

What environment variables are required?

AlphaVantage API key must be set as `ALPHAVANTAGE_API_KEY` in the `local.settings.json` for local development or as a function app setting in Azure.

5

How can I add more environment variables?

Add them to the `infra/main.parameters.json` file under `functionAppEnvironmentVariables` and redeploy, or use the Azure CLI `az functionapp config appsettings set` command.

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