Tradovate MCP Server

Overview

The MCP Tradovate server bridges the gap between Claude Desktop and the Tradovate trading platform, allowing developers to orchestrate full‑fledged trading workflows with natural language commands. By exposing the complete Tradovate REST API through MCP, it removes the need for custom wrappers or manual authentication handling. This means an AI assistant can authenticate, retrieve account data, place orders, and manage risk—all in a single conversational turn—while the server takes care of token management, request throttling, and error handling.

At its core, the server implements a collection of intuitive tools that map directly to Tradovate’s capabilities. Authentication is handled through a simple call, after which the assistant can query accounts with , inspect live positions via , and adjust risk parameters using . Trading operations such as and support the full range of order types, quantities, and time‑in‑force options that Tradovate offers. Market data tools—, , and —provide real‑time quotes and historical price series, enabling strategy backtesting or live monitoring within the same conversational context.

Developers benefit from a single point of integration that abstracts away the intricacies of Tradovate’s authentication flow and rate limits. The MCP server handles secure storage of credentials, automatic token refreshes, and graceful degradation on API errors. This allows AI assistants to focus on higher‑level decision logic rather than plumbing concerns, leading to faster prototyping of algorithmic strategies and automated compliance checks.

Real‑world scenarios include building a “trade‑and‑report” assistant that can receive a natural language request like, “Open a 100‑contract limit order for the SPX index at $4,500 and set a trailing stop of 2%.” The assistant translates this into the appropriate MCP calls, the server authenticates with Tradovate, places the order, and returns a confirmation along with current risk limits. Another use case is automated portfolio monitoring: an assistant can periodically call and , compute risk metrics, and alert the user if thresholds are breached—all without manual scripting.

The server’s standout advantage lies in its seamless integration with Claude Desktop’s MCP workflow. By exposing a rich set of tools, secure authentication, and real‑time data feeds, it empowers AI assistants to act as fully functional trading agents. This reduces development time, minimizes boilerplate code, and opens the door to sophisticated, conversational trading solutions that can be deployed across multiple accounts and market conditions.