Tradovate MCP Server

The Tradovate MCP Server bridges the gap between AI assistants and live trading on the Tradovate platform. By exposing a rich set of tools that mirror core Tradovate functionalities—contract lookup, position management, order execution, account monitoring, and market data retrieval—it lets developers build conversational agents that can not only analyze market conditions but also act on them in real time. This capability is especially valuable for financial analysts, algorithmic traders, and compliance officers who want to embed automated decision‑making into chat or voice interfaces without writing custom API wrappers.

At its core, the server authenticates with Tradovate’s OAuth‑like system and caches responses to reduce latency. When a user asks an AI assistant for the details of a futures contract, the tool pulls fresh data from Tradovate’s endpoint, while the tool aggregates current holdings from . Order placement flows through , and the server can modify or cancel orders via dedicated endpoints. If the live API is unreachable, a simulated data layer guarantees that the assistant can still provide meaningful feedback, making it robust for development and testing.

Key capabilities include:

• Real‑time market data: fetches quotes, depth of market (DOM), and chart snapshots via , , and .
• Account insights: pulls balances, margin usage, and cash snapshots.
• Order lifecycle management: Place, modify, cancel, or liquidate positions with a single call.
• Contract discovery: Quickly locate contracts by symbol or other attributes, enabling dynamic strategy adjustments.
• Fallback simulation: When connectivity fails, the server serves pre‑cached or synthetic data, ensuring uninterrupted AI interaction.

Typical use cases span:

• Conversational trading assistants that let users discuss strategy options, receive real‑time quotes, and execute orders via natural language.
• Risk monitoring bots that continuously fetch account summaries and alert on margin calls or adverse market moves.
• Educational tools where students can experiment with order placement and see the immediate impact on a simulated account.
• Compliance monitoring that logs every order action through MCP, providing an auditable trail integrated with the AI’s dialogue.

Integration is straightforward: developers add the MCP server as a tool source in their AI workflow. The assistant can then call any of the listed tools, receiving structured JSON responses that can be parsed or displayed directly. Because MCP treats these operations as first‑class actions, the assistant’s reasoning and execution are tightly coupled—enabling complex trading strategies that adapt on the fly.

In summary, the Tradovate MCP Server turns a cloud‑based AI assistant into a fully functional trading companion. By abstracting Tradovate’s REST API behind MCP tools, it offers developers a clean, secure, and highly extensible interface to build next‑generation financial applications.