MCP server for AiDataTaskRunner Panel (MT5) - Control data generation and ML model training via MCP
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-tradesystemsnique-aidatataskrunner-mcp": {
"command": "<see-readme>",
"args": []
}
}
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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
No automated test available for this server. Check the GitHub README for setup instructions.
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Control AiDataTaskRunner Panel directly via MCP
Control your backtesting queue directly from Claude:
Manage panel settings via Claude:
Use Claude to automate your trading data pipeline:
AiDataTaskRunerMcp/
└── aidatataskrunner_mcp/ # JSON Tools definition
cd "C:\Users\YOUR USER\AppData\Roaming\MetaQuotes\Terminal\YOUR ID\MQL5\Shared Projects"
tsndep install "https://forge.mql5.io/nique_372/AiDataTaskRunerMcp.git"
Open Common\Files And create a json file with this structure:
{
"general": {
"type_reg": "stdio_stdin",
"json_tools_fpath": "JSON_TOOL_PATH"
},
"mt5_conn": {
"host": "127.0.0.1",
"port": 9999
},
"http_lib": {
"name": "McpMt5Server",
"version": "1.0.0",
"host": "127.0.0.1",
"port": 8080,
"endpoint": "/"
},
"stdio_stdin": {
"name": "MT5 MCP Server",
"version": "1.0.0"
}
}
Add to your claude_desktop_config.json:
{
"mcpServers": {
"aidatataskrunner_mcp": {
"command": "PATH_TO_EXE",
"args": ["PATH_TO_FILE", "YOUR_TBP_ID", "YOUR_MT5_ACCOUNT_LOGIN_ID"
]
}
}
}
In MT5: Tools → Options → Allowed URLs for WebRequest
127.0.0.1 or host you configured.