Run Hansl/Gretl econometrics workflows via MCP with GUI launch and artifacts.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)
Built for AI agents: run Hansl/Gretl workflows, get graph screenshots, and view calculations in the real Gretl GUI.
It lets MCP clients run Gretl/Hansl scripts, raw Gretl command lines, existing
.inp files, package operations, package builds, help lookups, dataset
summaries, and OLS models. The generic gretl_run_script tool is the main path
for prompt-generated Gretl workflows: the client writes Hansl from the user's
request, runs it through Gretl, and returns Gretl's output plus generated
artifacts.
Keywords: Claude Gretl, MCP econometrics, Hansl AI, Gretl GUI automation.
gretlcli.gretl.exe and fail if the GUI did not open..inp script files.pkg and makepkg workflows from the Gretl Function
Package Guide.gretlcli available.One-command install (after npm publish):
Local install from GitHub:
Then point your MCP client at the built server:
Forecast output example (actual vs forecast):

Forecast error panel:

Download Gretl from the official page: https://gretl.sourceforge.net/win32/
For a no-admin setup, extract the zip archive to:
Verify:
Install via Homebrew (if available on your setup) or the Gretl project site:
Install from your distro packages, then verify:
Use this JSON config for stdio MCP clients:
After npm publication, the standard MCP config is:
Local GitHub build:
npm install path:
Local GitHub build:
npm install path:
Use the local JSON config above. If the client asks for a command and args separately, use:
Ask your agent:
The MCP response includes generated artifact paths, workspace/script paths, and GUI launch details.
gretl-mcp supports environment variables and CLI flags.
Environment variables:
GRETL_CLI: optional path to gretlcli or gretlcli.exe.GRETL_GUI: optional path to gretl or gretl.exe.GRETLMCP_WORKSPACE_DIR: optional directory for Gretl run workspaces.GRETLMCP_OPEN_GUI: set to false to stop tools from opening Gretl windows by default.GRETLMCP_REQUIRE_GUI: set to false to allow CLI-only success when GUI opening is disabled or unavailable.GRETLMCP_ENFORCE_GUI_ONLY: set to true to reject any headless workflow request.CLI options:
gretl_version: checks Gretl availability.gretl_gui_version: checks Gretl GUI availability.gretl_gui_launch: launches the visible Gretl desktop GUI.gretl_capabilities: lists installed Gretl commands, functions, and package help.gretl_run_script: runs a Gretl/Hansl script and requires GUI opening by default.gretl_run_commands: runs raw Gretl command lines and requires GUI opening by default.gretl_run_script_file: runs an existing local .inp file and requires GUI opening by default.gretl_package: runs native pkg actions such as install, query, run-sample, unload, remove, and index.gretl_make_package: builds .gfn or .zip function packages with makepkg.gretl_help: returns Gretl help for a command.gretl_dataset_summary: opens a local dataset, returns summary statistics, and requires GUI opening by default.gretl_ols: opens a local dataset, estimates an OLS model, and requires GUI opening by default.gretl_run_script, gretl_run_commands, and gretl_run_script_file default to
safeMode: true, which blocks common shell-like commands and absolute file
reads/writes. This is a guardrail, not a complete sandbox. Use safeMode: false
only for trusted local work.
Dataset helper tools reject URLs and require paths to existing local files.
examples/homework-variance-ftest.inp: Gretl script for a homework-style
F test with critical-value and p-value calculations.examples/forecasting-dashboard.inp: Macro forecasting dashboard with AR,
ARIMA, VAR, forecast plots, and an RMSE/MAE comparison table.examples/specification-curve-analysis.inp: 32-model robustness sweep for an
education coefficient with curve, confidence bands, and histogram plots..inp files.By default, the workflow tools open their generated Hansl script in the real
Gretl desktop app while also returning structured MCP output. More importantly,
they now treat GUI opening as required outside CI. If the Gretl window does not
open, the tool returns ok: false even when the CLI script itself succeeded.
Set displayInGretl: false and requireGui: false on a tool call, or set
GRETLMCP_OPEN_GUI=false together with GRETLMCP_REQUIRE_GUI=false, to allow
CLI-only automation.
For clients that should never bypass the desktop app, set
GRETLMCP_ENFORCE_GUI_ONLY=true or launch the server with --enforce-gui-only.
In that mode, the workflow tools reject displayInGretl: false and
requireGui: false instead of honoring them.
gretl_gui_launch can also be called directly. It starts the real Gretl desktop
application, opens a local dataset/script file, or writes a prompted Hansl script
and launches Gretl with --run.
This is not full click-by-click GUI control by itself. If you want the agent to observe screenshots, click menus, and make choices exactly like a human, the MCP client also needs desktop automation or computer-use capability. Gretl MCP now provides the Gretl-side launch surface for that workflow.
npm run stress drives the built MCP server through broader prompt-style
workflows: macro forecasting, structural breaks, Monte Carlo simulation,
textbook replication, diagnostic automation, NLS, mixed-frequency compaction,
panel models, GARCH graphs, IV simulation, and a reproducible project. The
foreign-language stress case is dependency-gated and requires a real Python,
Rscript, or Octave executable on PATH.
To surface stress outputs for docs or QA snapshots:
Then inspect the reported workspace for generated graphs/tables.
Run the built server:
This project is structured for GitHub, npm, and MCP Registry metadata:
server.json is included for registry publish.Before publishing to npm or the MCP Registry, review docs/publishing.md.
Issues and pull requests are welcome. See CONTRIBUTING.md for contribution
flow and expectations.
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