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An MCP server for NONMEM pharmacometric modeling that provides structured access to model parsing, execution, and results analysis. It enables users to perform
An MCP server for NONMEM pharmacometric modeling that provides structured access to model parsing, execution, and results analysis. It enables users to perform diagnostics, manage PsN workflows, and translate models to mrgsolve for PK simulations through natural language.
MCP (Model Context Protocol) server for NONMEM pharmacometric modeling workflows. Gives Claude (and any MCP-compatible client) structured access to NONMEM models, results, and simulation tools.
Supports Windows, macOS, and Linux.
read_ext_file — Parse .ext files for parameter estimates, SEs, OFV, condition numberread_lst_file — Extract termination status, shrinkage, covariance step resultsparse_control_stream — Structural parsing of .ctl/.mod files (THETAs, OMEGAs, $EST options)read_nm_dataset — Dataset summary: subjects, observations, missing valuesread_nm_tables — Parse SDTAB/PATAB with statistics for CWRES, ETAs, PREDcompare_models — Multi-run OFV comparison with delta-OFV and AICsummarize_run — Combined .ctl + .ext + .lst summarylist_runs — Scan project directories for NONMEM runssubmit_run — Start NONMEM runs (async, fire-and-poll pattern)check_run_status — Monitor iteration progress via .ext fileget_run_results — Retrieve parsed results when completecancel_run — Kill running NONMEM jobsrun_diagnostics — Automated checks: boundary, condition number, shrinkage, RSEexecute_psn_vpc — Run VPC via PsN (predcorr, stratify, lloq options)execute_psn_bootstrap — Run bootstrap via PsN (BCa, stratify)check_psn_status — Monitor PsN job progressparse_psn_results — Parse existing PsN output directories (no installation needed)check_nonmem_setup — Detect NONMEM, PsN, R installation statustranslate_to_mrgsolve — Convert NONMEM .ctl/.mod to mrgsolve model codesimulate_mrgsolve — Run PK simulations via mrgsolve (R)generate_vpc_data — Generate VPC data using mrgsolve + vpc R packagecheck_r_setup — Check R and package availabilityreview_model — Model review checklistinterpret_results — Pharmacological interpretationtroubleshoot_run — Diagnose run failuressuggest_next_model — Suggest next modeling stepswrite_methods_section — Draft publication Methods textsubmit_run (commercial license)execute_psn_vpc, execute_psn_bootstrapmrgsolve, vpc, dplyr, ggplot2 — Required for simulation and GOF toolsgit clone https://github.com/sueinchoi/nonmem-mcp-server.git
cd nonmem-mcp-server
uv sync
pip install git+https://github.com/sueinchoi/nonmem-mcp-server.git
Or for development:
git clone https://github.com/sueinchoi/nonmem-mcp-server.git
cd nonmem-mcp-server
pip install -e .
The server auto-detects NONMEM from common install locations. If auto-detection fails, set one of these environment variables:
| Variable | Description | Example |
|---|---|---|
NONMEM_NMFE_PATH |
Full path to nmfe executable | /opt/nm760/run/nmfe76 |
NONMEM_INSTALL_PATH |
NONMEM installation root | /opt/nm760 |
macOS / Linux:
/opt/nm760/run/nmfe76, /opt/NONMEM/nm75/run/nmfe75, etc./usr/local/NONMEM/nm76/run/nmfe76~/NONMEM/nm76/run/nmfe76Windows:
C:\nm760\run\nmfe76.bat, C:\NONMEM\nm76\run\nmfe76.batC:\Program Files\NONMEM\nm76\run\nmfe76.batD:\NONMEM\nm76\run\nmfe76.batclaude mcp add nonmem -- nonmem-mcp
claude mcp add -s user nonmem -- \
uv run --directory /path/to/nonmem-mcp-server python -m nonmem_mcp
# macOS / Linux
claude mcp add -s user \
-e NONMEM_NMFE_PATH=/opt/nm760/run/nmfe76 \
nonmem -- \
uv run --directory /path/to/nonmem-mcp-server python -m nonmem_mcp
# Windows (PowerShell)
claude mcp add -s user `
-e NONMEM_NMFE_PATH=C:\nm760\run\nmfe76.bat `
nonmem -- `
uv run --directory C:\path\to\nonmem-mcp-server python -m nonmem_mcp
claude mcp list
# nonmem: ... - ✓ Connected
Add to claude_desktop_config.json:
{
"mcpServers": {
"nonmem": {
"command": "uv",
"args": ["run", "--directory", "/path/to/nonmem-mcp-server", "python", "-m", "nonmem_mcp"],
"env": {
"NONMEM_NMFE_PATH": "/opt/nm760/run/nmfe76"
}
}
}
}
{
"mcpServers": {
"nonmem": {
"command": "uv",
"args": ["run", "--directory", "C:\\path\\to\\nonmem-mcp-server", "python", "-m", "nonmem_mcp"],
"env": {
"NONMEM_NMFE_PATH": "C:\\nm760\\run\\nmfe76.bat"
}
}
}
}
# Summarize a NONMEM run
"Summarize the run in /path/to/run001/"
# Compare covariate models
"Compare OFV across all models in the covariate analysis directory"
# Diagnose a failed run
"Why did this run fail? Check /path/to/run.lst"
# Systematic model development
"Develop a 2-compartment model with forward IIV addition"
# Translate to mrgsolve for simulation
"Convert my NONMEM model to mrgsolve and run a VPC"
# GOF plots
"Generate GOF plots for run015 with IPRED and CWRES"
| Feature | No NONMEM | + NONMEM | + PsN |
|---|---|---|---|
| Parse .ext/.lst/.ctl | ✓ | ✓ | ✓ |
| Model comparison | ✓ | ✓ | ✓ |
| Diagnostics | ✓ | ✓ | ✓ |
| mrgsolve simulation | ✓ | ✓ | ✓ |
| mrgsolve VPC | ✓ | ✓ | ✓ |
| NONMEM execution | ✗ | ✓ | ✓ |
| PsN VPC | ✗ | ✗ | ✓ |
| PsN Bootstrap | ✗ | ✗ | ✓ |
| Parse PsN results | ✓ | ✓ | ✓ |
The examples/theopp/ directory contains a complete model development workflow using the Theophylline dataset:
MIT
Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.
{
"mcpServers": {
"nonmem-mcp-server": {
"command": "npx",
"args": []
}
}
}