opendtect-mcp
Model Context Protocol (MCP) server that drives OpendTect headlessly for SEG‑Y import, 3D horizon auto‑tracking, ASCII export, and horizon‑agreement scoring.
README
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)
| Tool | Needs OD? | What it does |
|---|---|---|
survey_info |
introspection | OD install + active survey + readiness check (start here) |
list_objects |
odpy | list DB objects of a translator group (Seismic Data, Horizon, …) |
import_segy |
Command Driver | import a 3D post‑stack SEG‑Y into the survey |
autotrack_horizon |
Command Driver | (experimental, M2) seed + auto‑track a 3D horizon |
export_horizon_ascii |
Command Driver | export a tracked horizon to ASCII .xyt |
read_horizon |
no | parse an exported horizon (pick count + extent) |
compare_horizons |
no | score baseline vs candidate tracking: coverage, holes, RMS pick deviation, verdict |
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.
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, alldry_runscript generation, the unit tests (pytest). - ✅ M0/M1 (introspection + import/export): functional; the
.odcmdmenu labels are version‑specific and may need one‑time calibration (seeodcmd_templates.py, lines marked# CALIBRATE). Usedry_run=True, run against your OD, readodcmdlog.txt, adjust labels. - 🚧 M2 (
autotrack_horizon): scaffolded; seed placement is the trickiest GUI op to script and needs calibration beforedry_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
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