Finvasia MCP Server

Overview

The Finvasia MCP Server is a Node.js bridge that exposes the Finvasia Shoonya trading platform through the Model Context Protocol (MCP). By translating Finvasia’s proprietary Market Connect API into a standardized stdio interface, the server allows AI assistants—such as Claude—to query and manipulate trading data without needing custom integrations for each broker. This solves the common pain point of vendor lock‑in and fragmented data access, enabling developers to build single‑source workflows that can switch brokers or add new ones with minimal effort.

What the Server Does

• Data Retrieval: Pulls real‑time market data (current stock prices, order book, trade book) and account information (profile, balance, holdings, positions).
• Order Management: Places, modifies, cancels, and monitors buy/sell orders, including advanced order types like take‑profit, stop‑loss, and options transactions.
• Risk & Margin: Provides order margin calculations and other risk metrics that help AI agents assess exposure before executing trades.

These capabilities are exposed as MCP resources and tools, meaning an assistant can invoke them through simple text commands or scripted workflows. The server’s modular design also allows future extensions—new order types, additional broker APIs, or enhanced analytics—to be added without breaking existing integrations.

Key Features & Advantages

• Unified Interface: A single MCP endpoint that abstracts Finvasia’s complex API, reducing boilerplate code in client applications.
• Real‑Time Interaction: Uses Server‑Sent Events (SSE) for live updates, ensuring AI agents always act on the latest market conditions.
• Security‑First: Credentials are stored in a file and never exposed to the client, keeping sensitive data on the server side.
• Extensibility: Built with Node.js and a clear plugin architecture, developers can quickly add new functionalities or support additional brokers.

Real‑World Use Cases

• Algorithmic Trading Bots: An AI assistant can monitor market trends, calculate optimal entry points, and place orders automatically while respecting risk limits.
• Portfolio Management Dashboards: Frontend applications can display live holdings and performance metrics, powered by the MCP server’s data streams.
• Compliance & Auditing: By logging all trade actions through the MCP, firms can maintain an auditable trail for regulatory purposes.
• Multi‑Broker Strategies: A single AI workflow can route orders to the most favorable broker by swapping out MCP endpoints, thanks to the standardized interface.

Integration into AI Workflows

Developers configure their MCP client (e.g., VS Code settings) to point at the Finvasia server’s SSE URL. Once connected, an AI assistant can issue commands like “buy 100 shares of AAPL” or “show my current positions,” and the server translates these into authenticated API calls to Finvasia. The assistant receives structured responses, enabling it to make informed decisions or present results in natural language.

In summary, the Finvasia MCP Server turns a complex trading platform into an easily consumable service for AI assistants, streamlining development, enhancing security, and opening the door to sophisticated automated trading strategies.