What prerequisites are needed?
You need an Azure subscription, Azure Developer CLI, Azure Functions Core Tools, Python 3.11, and an AlphaVantage API key.
@dsaad68
基本信息
A demo to showcase a MCP Server with Azure Functions
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"remote-mcp-azure-function": {
"command": "uv",
"args": [
"sync",
"--frozen"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
You need an Azure subscription, Azure Developer CLI, Azure Functions Core Tools, Python 3.11, and an AlphaVantage API key.
Log in with `azd auth login`, then run `azd up`. This provisions Azure resources and deploys the Function App.
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>`.
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.
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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