Finam is an MCP server designed to integrate the Finam Trade API with AI assistants, allowing users to perform various trading operations using natural language commands.

What are the prerequisites to use Finam?

To get started, you'll need Python 3.12+, the `uv` package manager, valid Finam Trade API keys (obtainable via a free demo account), and a configured MCP client like Claude Desktop or Cursor.

Which AI assistants are compatible with Finam?

Finam offers seamless integration with popular AI assistants, including Claude Desktop, Cursor, and VS Code, enabling interactive trading through conversational interfaces.

What trading operations can I perform with Finam?

You can manage Finam trading accounts (balance, margin, history), access comprehensive market data (quotes, candles, order books), retrieve instrument information, and execute/manage diverse order types like market, limit, and stop orders.

Finam

Name: Finam
Author: FinamWeb

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Integrates Finam Trade API with AI assistants to enable natural language trading operations.

This comprehensive MCP server for Finam Trade API empowers AI assistants like Claude Desktop and Cursor to execute trading operations using natural language. It bridges the gap between conversational AI and financial markets, allowing users to manage accounts, access market data, analyze assets, and place orders through intuitive, text-based commands, leveraging the full capabilities of Finam's trading platform for automated and intelligent trading strategies.

Key Features

01Seamless integration with popular AI assistants like Claude Desktop, Cursor, and VS Code for natural language interaction

02Execute and manage various order types, including market, limit, and stop orders, and cancel active orders

03Retrieve detailed information on trading instruments, exchanges, and trade schedules

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05Manage Finam trading accounts, including balance, margin, transactions, and trade history

06Access comprehensive market data such as historical candles, real-time quotes, and order books

Use Cases

01Monitoring Finam account balances, positions, and transaction history using conversational AI

02Retrieving historical and real-time market data for AI-driven analysis and decision-making

03Automated trading operations through natural language commands with AI assistants