Aidatataskrunner Mcp
Wire Claude or Cursor to an MT5 AiDataTaskRunner panel so the agent can kick off dataset generation and ML training jobs without clicking through the desktop UI.
Overview
aidatataskrunner-mcp is an MCP server for the Build phase that lets agents control AiDataTaskRunner Panel jobs on MT5 for data generation and ML training.
What is this MCP server?
- Stdio MCP transport via PyPI package aidatataskrunner-mcp (registry version 1.0.2)
- Remote control of AiDataTaskRunner Panel tasks on MetaTrader 5
- Trigger data-generation pipelines from the agent chat
- Start and monitor ML model training runs through MCP tools
- Open-source server on GitHub TradeSystemsNique/AiDataTaskRunerMcp
- PyPI package version 1.0.2
- Server schema version 1.0.0
- stdio transport
What problem does it solve?
Switching between your IDE and MT5 panel for every dataset or training run breaks flow and makes agent-driven quant workflows impossible.
Who is it for?
Indie traders or builders who already use AiDataTaskRunner on MT5 and want Claude Code or Cursor to drive batch data and training.
Skip if: Teams with no MT5 install, no AiDataTaskRunner panel, or who only need generic CSV/ML pipelines outside MetaTrader.
What do I get? / Deliverables
After you register the stdio server, your agent can start and supervise data and training tasks on MT5 from the same session where you write code.
- Agent-callable MCP tools for panel data-generation tasks
- Agent-callable MCP tools for ML training orchestration on MT5
- Local stdio MCP bridge documented in server.json
Recommended MCP Servers
Journey fit
Canonical shelf is Build because the server is an integration bridge into a trading/ML workstation, not day-two production monitoring. integrations fits MCP stdio wiring to an external panel (MT5) for automated task control.
How it compares
MT5-panel task runner MCP, not a generic Jupyter or cloud-ML training skill.
Common Questions / FAQ
Who is aidatataskrunner-mcp for?
It is for solo builders and quants who run MetaTrader 5 with AiDataTaskRunner and want their AI coding agent to trigger data generation and ML training via MCP.
When should I use aidatataskrunner-mcp?
Use it during Build when you are iterating on trading ML workflows and need the agent to orchestrate panel tasks instead of manual clicks.
How do I add aidatataskrunner-mcp to my agent?
Install the PyPI package aidatataskrunner-mcp, configure stdio MCP in Claude Code or Cursor pointing at the server entrypoint, and ensure MT5 with AiDataTaskRunner is running locally.