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Native MCP (Model Context Protocol) Server

Workspace

As AI assistants (Claude, GPT, Copilot) become standard tools for traders, ATAS currently has no way to connect to them directly. The Model Context Protocol (MCP) is the emerging open standard for this — platforms like MetaTrader 5, QuantConnect, and TradingView already offer MCP servers.

ATAS has the best order flow engine on the market, but it's locked inside a desktop application.

A native MCP server (read-only MVP: cluster data, volume profile, DOM snapshots, indicator values, Smart Tape) would open ATAS to the entire AI ecosystem.

The technical lift is manageable: a read adapter over existing internal data structures, using the official MCP C# SDK (github.com/modelcontextprotocol/csharp-sdk). It could ship as an optional module within ATAS settings.

This would make ATAS the first professional order flow platform with AI-native integration — a significant competitive differentiator.

Happy to provide detailed use cases or technical input if helpful.

Posted by Harald ·
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  • Harald

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    Sep 23

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    Merged request

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    1 vote

    MCP Server Integration for ATAS to Enable LLM-Based Market Data Access

    I would like to submit a feature request for a future ATAS release: native support for a Model Context Protocol, MCP, server that allows Large Language Models, LLMs, and AI agents to securely access ATAS market data and platform context in real time.

    Please consider adding an ATAS MCP Server that exposes relevant futures market data and ATAS context to authorized LLM clients.

    Ideally, the MCP server should allow an LLM or AI agent to query and subscribe to relevant data such as:

    -Realtime market data

    -Order flow and footprint data

    -Order book / DOM data

    -Chart and workspace context

    -Historical data access

    -Event and alert access

    This would also create a strong competitive advantage, as AI-assisted trading analysis and journaling are becoming increasingly important in modern trading workflows.