alpaca-mcp-server vs mcp
alpaca-mcp-server: The Alpaca MCP Server is a comprehensive Model Context Protocol server that integrates Alpaca's Trading API. It enables natural language trading operations for stocks, options, and crypto through various AI assistants, supporting portfolio management and real-time market data.; mcp: AWS MCP Servers are a collection of specialized servers designed to integrate the Model Context Protocol (MCP) with AWS services, providing large language models with real-time access to AWS documentation, best practices, and operational capabilities. This enhances AI applications by improving output quality, enabling workflow automation, and offering deep domain knowledge for cloud-native development.
TL;DR
- You already have an Alpaca account and want an assistant to read quotes, positions and news and place orders on stocks, options and crypto.
- You want to start safely: paper trading is the default.
- You want to limit what the assistant sees with `ALPACA_TOOLSETS`.
- You trade through a different broker: this server is for Alpaca's API only.
- You have prompts or configs built on V1: V2 is a rewrite and none of the V1 tools exist.
- You would switch on live trading without limits and confirmations: a model can misread a prompt and orders can be hard to undo.
- Your team builds on AWS and wants official AWS Labs MCP servers for up-to-date AWS docs, CDK/Terraform IaC, EKS/ECS containers, databases, and cost analysis.
- You use Cursor, VS Code, or Claude and want grounded AWS architecture and billing answers.
- You want a single SQL engine to query and audit resources across AWS, GCP, Azure, and SaaS providers together; StackQL is designed for multi-cloud SQL.
- You need native Streamable HTTP on individual local servers today (the local servers in this repo currently use stdio).
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