Schwab MCP Server

Schwab MCP Server

The Schwab MCP server is a specialized bridge that lets AI assistants—such as Claude—talk directly to Charles Schwab accounts and market data through Schwab’s official API. By exposing a set of well‑defined tools over the Model Context Protocol, it removes the need for developers to write custom authentication flows or data parsers. Instead, they can simply ask the assistant questions like “Show me my Schwab account balances and positions” or “Get real‑time quotes for AAPL, GOOGL, and MSFT” and receive structured responses that the assistant can immediately present or act upon.

At its core, the server implements Schwab’s OAuth 2.0 PKCE flow to authenticate users securely and stores tokens in Cloudflare KV, ensuring that sensitive credentials never touch the client side. Once authenticated, a rich set of trading and market‑data tools becomes available: account listings with balances and positions, order placement and cancellation (experimental), transaction histories, real‑time quotes, price history, market hours, movers, and full options chains with Greeks. The server also includes an instrument search that pulls fundamental data, allowing assistants to help users discover new securities or ETFs quickly.

Developers benefit from the server’s enterprise‑ready deployment on Cloudflare Workers with Durable Objects for stateful management. This architecture guarantees low latency and high scalability while keeping the implementation lightweight. The built‑in account identifier scrubbing protects sensitive information, making it suitable for production environments where privacy is paramount. Because the MCP interface is standardized, any AI assistant that understands MCP can integrate with Schwab data without writing new connectors.

Typical use cases span personal finance coaching, automated portfolio monitoring, and real‑time trading alerts. For example, a financial advisor could ask the assistant to list today’s market movers in the S&P 500 and then schedule a follow‑up chat. A retail trader might request an options chain for TSLA with Greeks and receive a concise summary that can be used to craft strategies. In all scenarios, the assistant’s natural‑language interface hides the complexity of OAuth and API pagination, allowing users to focus on decision making rather than plumbing.

What sets this server apart is its comprehensive coverage of Schwab’s API surface, combined with secure, cloud‑native deployment. It turns a complex brokerage integration into a simple set of declarative queries that any MCP‑compliant assistant can execute, dramatically lowering the barrier to building finance‑aware AI applications.