gromacs-mcp
Enables running GROMACS molecular dynamics simulations through natural language, with tools for topology building, solvation, simulation management, and trajectory processing via the Model Context Protocol.
README
<div align="center">
🧬 gromacs-mcp
Drive GROMACS from any MCP client, in natural language.
Build topologies, solvate, add ions, preprocess, run simulations in the background, and post-process trajectories — all through the Model Context Protocol.
</div>
Why
Setting up and running a molecular-dynamics simulation is a long, error-prone chain of
gmx sub-commands. gromacs-mcp exposes that pipeline as clean MCP tools so an LLM agent
(Claude Code, Claude Desktop, or any MCP client) can plan and run the whole workflow while
you supervise — without the agent ever blocking on a multi-hour mdrun.
Features
- Hybrid tool design — typed helpers for every common pipeline step plus a generic
run_gmxescape hatch for any othergmxsub-command. - Non-blocking simulations —
mdrun_startlaunches in the background and returns a job id; poll progress (step / time / ns·day⁻¹ / ETA) withmdrun_status. - Actionable errors — GROMACS
Fatal error:blocks are extracted into a dedicatederror_summaryfield, so the real cause survives output truncation. - Project-scoped work dirs — each system lives in its own directory under a configurable root.
- Zero-config discovery — finds
gmxonPATHautomatically (override withGMX_BIN).
Tools
| Category | Tool | Purpose |
|---|---|---|
| Introspect | gmx_info |
GROMACS version / build / binary path |
list_files |
List files in a work directory | |
read_text_file |
Read an .mdp / .top / .log (clipped) |
|
write_mdp |
Write an .mdp (or any text) file |
|
| Pipeline | pdb2gmx |
Structure → topology + coordinates |
editconf |
Define the simulation box | |
solvate |
Fill the box with solvent | |
grompp |
Preprocess → run input (.tpr) |
|
genion |
Add neutralising / salt ions | |
trjconv |
Trajectory PBC / centering / conversion | |
| Simulation | mdrun_start |
Start a simulation in the background |
mdrun_status |
Poll progress + log tail | |
mdrun_list |
List all background jobs | |
mdrun_stop |
Terminate a job (writes checkpoint) | |
| Escape hatch | run_gmx |
Any other gmx sub-command |
Requirements
- GROMACS installed and
gmxrunnable (brew install gromacs, conda, or a source build). - Python ≥ 3.10.
- An MCP client (e.g. Claude Code or Claude Desktop).
Install & run
The recommended way is uv — no global install needed:
# Run straight from GitHub (or a local checkout)
uvx --from git+https://github.com/Alierkn/gromacs-mcp gromacs-mcp
<details> <summary>Alternative: pip / pipx</summary>
pipx install git+https://github.com/Alierkn/gromacs-mcp # isolated, on PATH
# or
pip install git+https://github.com/Alierkn/gromacs-mcp
gromacs-mcp # starts the stdio server
</details>
Connect it to your MCP client
Claude Code
claude mcp add gromacs --scope user -- \
uvx --from git+https://github.com/Alierkn/gromacs-mcp gromacs-mcp
Then check: claude mcp list → gromacs: … ✔ Connected.
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"gromacs": {
"command": "uvx",
"args": ["--from", "git+https://github.com/Alierkn/gromacs-mcp", "gromacs-mcp"],
"env": { "GMX_BIN": "/opt/homebrew/bin/gmx" }
}
}
}
Configuration
| Env var | Default | Meaning |
|---|---|---|
GMX_BIN |
auto (which gmx) |
Path to the gmx executable |
GROMACS_MCP_ROOT |
~/gromacs-mcp/projects |
Base dir for work directories |
Relative workdir arguments resolve under GROMACS_MCP_ROOT; each subdirectory is one
"project" (system) holding its .gro / .top / .tpr / .log files.
Example prompt
"In workdir
lyso, build a topology from1aki.pdbwith amber99sb-ildn / tip3p, put it in a 1.0 nm cubic box, solvate it, neutralise with ions, then run a short energy minimisation in the background and tell me when it's done."
The agent chains:
pdb2gmx → editconf → solvate → grompp (ions) → genion → grompp (em) → mdrun_start → mdrun_status.
How it works
Each tool shells out to the local gmx binary via subprocess, captures stdout/stderr
(GROMACS writes almost everything to stderr), and returns a structured result. Long
simulations are detached with start_new_session=True; their metadata is persisted to a
JSON registry so mdrun_status can report progress parsed from the live md.log.
Development
git clone https://github.com/Alierkn/gromacs-mcp && cd gromacs-mcp
uv sync --extra dev
uv run pytest # tests that need gmx auto-skip if it is absent
uv run ruff check .
See CONTRIBUTING.md.
Related
- vmd-mcp — companion MCP server for headless VMD analysis & rendering. Pair them: simulate with GROMACS, visualise with VMD.
License
MIT © Ali Erkan Ocaklı
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。