opendtect-mcp

Model Context Protocol (MCP) server that drives OpendTect headlessly — SEG‑Y import, 3D horizon auto‑tracking, ASCII export, and horizon‑agreement scoring.

It wraps two OpendTect surfaces, both public and documented:

• odpy (OpendTect's Python framework, Apache‑2.0) for database/survey introspection.

• the Command Driver (od_main --cmd script.odcmd) for GUI actions (import / track / export).

A pure‑Python scoring layer that turns two tracked horizons into quantitative numbers.

Not affiliated with, endorsed by, or sponsored by dGB Earth Sciences. "OpendTect" is a trademark of dGB Earth Sciences; it is used here only to describe interoperability. This project ships no OpendTect code or data — it invokes a separately‑installed OpendTect via its documented interfaces.

What it exposes (MCP tools)

The GUI‑action tools accept dry_run=True to return the generated .odcmd without executing, so you can calibrate menu labels for your OD version safely.

Related MCP server: RevitMCPBridge2026

Install

cd opendtect-mcp
pip install -e .            # or: pip install -e ".[dev]" for tests

Python ≥ 3.10. odpy ships with OpendTect; if it isn't on your Python path, pip install odpy or run this server with OpendTect's bundled Python.

Configure

All via env (auto‑detects common install locations otherwise) — see .env.example:

export OPENDTECT_BIN=/path/to/od_main
export OPENDTECT_DATA_ROOT=/path/to/SurveyDataRoot
export OPENDTECT_SURVEY=YourSurvey

Verify:

python -c "from opendtect_mcp.config import ODConfig; import json; print(json.dumps(ODConfig.from_env().check(), indent=2))"

Connect to an MCP client (e.g. Claude Code)

Add to your MCP config (.mcp.json in a project, or the user‑level config):

{
  "mcpServers": {
    "opendtect": {
      "command": "opendtect-mcp",
      "env": {
        "OPENDTECT_BIN": "/path/to/od_main",
        "OPENDTECT_DATA_ROOT": "/path/to/SurveyDataRoot",
        "OPENDTECT_SURVEY": "YourSurvey"
      }
    }
  }
}

Then ask the assistant to call survey_info first.

Status & calibration

• ✅ Works now, no OD: read_horizon, compare_horizons, all dry_run script generation, the unit tests (pytest).

• ✅ M0/M1 (introspection + import/export): functional; the .odcmd menu labels are version‑specific and may need one‑time calibration (see odcmd_templates.py, lines marked # CALIBRATE). Use dry_run=True, run against your OD, read odcmdlog.txt, adjust labels.

• 🚧 M2 (autotrack_horizon): scaffolded; seed placement is the trickiest GUI op to script and needs calibration before dry_run=False.

The Command Driver navigates the GUI by label, so a given OD version only needs calibrating once — keep validated strings in odcmd_templates.py.

See examples/horizon_tracking_comparison.md for the end‑to‑end baseline‑vs‑candidate tracking workflow.

Layout

opendtect_mcp/
  config.py            env-driven OD/survey resolution + readiness check
  command_driver.py    write+run .odcmd, parse odcmdlog.txt
  odcmd_templates.py   parameterized .odcmd builders  (← calibrate here)
  odpy_bridge.py       odpy dbman/common wrappers (degrade gracefully)
  horizon_io.py        ASCII horizon parse + agreement scoring (no OD)
  server.py            FastMCP server + tool definitions
tests/                 no-OD unit tests
examples/              workflow guide