aidatataskrunner-mcp 1.0.7

MCP server for AiDataTaskRunner Panel (MT5) - Control AiDataTaskRuner Panel for data generation and ML model training via MCP

Control AiDataTaskRunner Panel directly via MCP

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Main features

Task Management

Control your backtesting queue directly from Claude:

• Add Tasks — Queue new backtests with custom symbols, dates, and timeframes
• Monitor Status — Track task progress (Processing, Queued, Pending, Ready, Failed)
• Batch Operations — Execute all pending tasks or clean completed ones
• File Management — Save/load task configurations from CSV files

Configuration Control

Manage panel settings via Claude:

• Load/Save Configurations — Save and load panel settings from text files
• Query Folders — Check data generation and task storage locations
• System Information — Access MT5 logs and system time

Natural Language Integration

Use Claude to automate your trading data pipeline:

• Query task counts and details
• Add multiple backtests in batch
• Organize and manage task configurations
• Monitor real-time execution status

Real-Time Updates

• Asynchronous operations delivered directly to chat
• Non-blocking task execution (fire-and-forget support)
• Instant status feedback from the panel

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Quick Start (With claude ai)

1. Install MCP Server

# Install from PyPI
pip install aidatataskrunner-mcp

# Or install in development mode
pip install -e .

2. Configure in Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "aidatataskrunner": {
      "command": "python",
      "args": ["-m", "aidatataskrunner_mcp", "--host", "127.0.0.1", "--port", "9999"]
    }
  }
}

3. Configure your MT5

Navigate to the "Tools" section >> "Options" >> "Allowed URLs for WebRequest", add a new field with the host/address you will be using (in this case "127.0.0.1"), and click Accept.

4. Connect with AiDataTaskRunner Panel

Start your AiDataTaskRunner Panel in MT5 with the AI tab enabled:

• The panel will connect to the MCP server on port 9999
• Claude will automatically detect available tools

5. Use in Claude

Add a new EURUSD backtest from 2023.01.01 to 2024.01.01 on H1 timeframe

Claude will automatically translate this to the appropriate MCP call.

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Repository Structure

AiDataTaskRunerMcp/
└── aidatataskrunner_mcp/                      # Python MCP server source code
    └── __init__.py
 

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Requirements

Python

• Python >= 3.10
• Dependencies listed in requirements.txt and pyproject.toml

MetaTrader 5

• AiDataTaskRunner Panel installed and configured
• MCP connection enabled in the AI tab
• Network connectivity between Claude and MT5 (default: localhost:9999)

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Installation of Repository Code

Clone

git clone https://github.com/TradeSystemsNique/AiDataTaskRunerMcp.git
cd AiDataTaskRunerMcp

Install for Development

pip install -e .

Run Locally

aidatataskrunner-mcp

Contact me

Contact me privately on MQL5 chats (user: nique_372) to be added as a collaborator with your MQL5 nickname (read-only access), which will make the repository automatically appear in your Shared Projects folder.

Fork

Fork the repository.

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Available Tools

Task Management

• aidatataskrunner_add_task — Add a new backtest task
• aidatataskrunner_get_task_total — Get total task count
• aidatataskrunner_get_task_by_index — Get task details by index
• aidatataskrunner_get_task_status — Get task execution status
• aidatataskrunner_execute_all_tasks — Execute all pending tasks
• aidatataskrunner_clean_all_tasks — Clean completed tasks

File Operations

• aidatataskrunner_save_tasks_to_file — Export tasks to CSV
• aidatataskrunner_load_tasks_from_file — Import tasks from CSV
• aidatataskrunner_save_config — Save panel configuration
• aidatataskrunner_load_config — Load panel configuration

Information Queries

• aidatataskrunner_get_main_folder — Get main data folder path
• aidatataskrunner_get_task_folder — Get tasks folder path
• aidatataskrunner_is_in_commonfolder — Check if using common MT5 folder

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License

Read Full License By downloading or using this repository, you accept the license terms.

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Documentation

Full documentation is available in the main repository:

• AiDataTaskRunner Wiki
• MCP Integration Guide
• MCP Integration Guide with claude

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Copyright © 2026 Nique-Leo.