Trade It MCP Server

The Trade It MCP Server tackles a common pain point for developers building AI‑powered financial assistants: bridging the gap between natural language requests and real‑world brokerage APIs. Instead of writing custom wrappers for each broker, an agent can simply issue plain English commands—“Buy $1,000 of Tesla” or “Show my accounts”—and the server translates those into authenticated API calls to leading platforms such as Charles Schwab, Robinhood, E*TRADE, Webull, Coinbase, and Kraken. This abstraction saves time, reduces boilerplate, and keeps the agent’s logic focused on conversation rather than integration details.

At its core, the server exposes a set of intuitive tools that mirror everyday trading actions. Create Trade lets agents craft market, limit, stop, or stop‑limit orders with minimal parameters; the tool handles defaults for amount, account, and order type. Execute Trade completes a draft order, giving developers an extra safety step to review before execution. Show Account Details and Search Asset provide quick access to portfolio snapshots and real‑time market data. Upcoming features such as Portfolio Queries and Copy Trading will enable deeper analysis and social investing directly from the agent’s dialogue. Because the server is remote‑only, developers can integrate it into any MCP‑compatible platform without deploying additional infrastructure.

Real‑world scenarios that benefit from this server include automated portfolio rebalancing, on‑the‑fly trade execution during market events, and personalized investment advice delivered through chat interfaces. A financial chatbot can answer “How’s Apple doing?” by invoking Search Asset, or it can execute a limit order based on user preferences, all while maintaining audit trails and compliance checks handled by the server.

Integration is straightforward: an MCP client simply connects to , authenticates via a browser‑based OAuth flow, and begins sending requests. The server’s remote architecture means updates or broker support expansions happen centrally, giving developers a single, reliable endpoint that evolves with market needs. This unified approach eliminates fragmentation across broker APIs and empowers AI assistants to deliver seamless, real‑time trading experiences.