The problem

The AI working on your code is guessing.

Not maliciously. It just doesn’t know. It doesn’t know which branch you’re on. It doesn’t know what your Bridge is actually running. It doesn’t know the deploy target you changed last Tuesday. So it invents plausible answers — and you spend twenty minutes finding out why they’re wrong.

That’s not a model problem. It’s an information problem.

TARX MCP gives your AI ground truth.

One line in your config. From that point, the AI you’re already using — Claude, Cursor, Copilot, anything that speaks MCP — stops guessing about your project and starts knowing.

{
  "mcpServers": {
    "tarx": {
      "url": "https://mcp.tarx.com/mcp"
    }
  }
}
content_copy

No install. No account. Connect from anywhere.

Start in 30 seconds.

Twenty-six tools at mcp.tarx.com. Project context. System health. Download and install flows. Mesh network stats. Waitlist and enterprise inquiry routing. Enough to ground an AI session in your actual stack before you type the first message.

Install TARX. 310 tools unlock.

Install TARX and 310 more tools become available through the same config entry. Memory that persists across sessions. Conversation threading. Orchestration across tools. UI testing. GTM automation. Identity-aware access control. The difference between a connected assistant and one that knows your project the way you do.

Your team’s hardware becomes a research cluster.

tarx_research runs autonomous experiment loops overnight — distributed across every machine in your mesh. One engineer’s setup runs a hundred experiments while they sleep. Ten machines run a thousand. The model that improves is yours. The training data never touches a cloud.

This is how research teams inside large organizations move. It’s available to a team of three.

Zero cloud compute. Zero API tokens.

Your hardware is the supercomputer. TARX orchestrates it. The economics are not a feature — they’re the architecture.

Add TARX MCP to your config.
The context problem is already solved.

add_circleAdd to Claude Desktopopen_in_newAdd to ChatGPTcontent_copyCopy endpoint