MCP Atomic Toolkit
A FastMCP server for atomistic modeling workflows that enables building structures, running geometry optimization and molecular dynamics, and analyzing results with downloadable artifacts.
README
⚛️ MCP Atomic Toolkit
[!NOTE] This project is under active development. Interfaces and behavior may evolve.
A FastMCP server for atomistic modeling workflows powered by ASE, pymatgen, and modern ML interatomic potentials.
It gives MCP clients a practical toolkit for:
- building structures,
- running geometry optimization + molecular dynamics,
- analyzing structures/trajectories,
- and downloading generated artifacts (data + plots).
✨ Why this repo
If you need atomistic workflows exposed as MCP tools (instead of hand-wiring scripts), this project gives you:
- ready-to-call MCP tools for common simulation tasks,
- file-first outputs that are easy to inspect/reuse,
- artifact download URLs so clients don’t need binary blobs in chat context,
- deployment-ready HTTP app with health and server-card endpoints.
🚀 Features
- MCP-native workflows via FastMCP tools
- Structure generation: bulk, surface, molecule, supercell, amorphous, liquid, bicrystal, polycrystal
- Optimization workflows with MLIPs (
kimdefault,nequix/orbsupported) - Molecular dynamics workflows (Velocity Verlet, Langevin, NVT Berendsen)
- Analysis outputs:
- RDF + coordination stats
- MSD + thermodynamic trends
- VACF + diffusion (Green-Kubo)
- Downloadable artifacts (
xyz,extxyz,cif,traj,png,svg,csv,dat, ...) - Registry-friendly endpoints (
/healthz, server card, Streamable HTTP root)
⚡ Quick Start
1) Requirements
- Python 3.11+
2) Install
pip install -r requirements.txt
3) Run locally
uvicorn mcp_atomictoolkit.http_app:app --host 0.0.0.0 --port 10000
Alternative:
python main.py
STDIO mode (for desktop MCP clients):
python -m mcp_atomictoolkit.mcp_server
[!IMPORTANT] STDIO transports must keep stdout clean for JSON-RPC. Avoid
print()or logging to stdout when running the server in STDIO mode.
4) Smoke check
curl -s http://localhost:10000/healthz
Expected response:
{"status":"ok"}
🧰 Tooling Overview
Main MCP tools exposed by the server:
build_structure_workflowanalyze_structure_workflowwrite_structure_workflowoptimize_structure_workflowsingle_point_workflowrun_md_workflowanalyze_trajectory_workflowautocorrelation_workflow
Legacy aliases are also included for backward compatibility.
🌐 Endpoints
POST /— primary MCP Streamable HTTP endpointGET /healthz— health checkGET /docs— lightweight documentation (README)GET /.well-known/mcp/server-card.json— MCP server card metadataGET /artifacts/{artifact_id}/{filename}— artifact download route/sse/— compatibility alias path mounted to the MCP app
📦 Deployment
Render
render.yaml is included and ready to use.
Default start command:
uvicorn mcp_atomictoolkit.http_app:app --host 0.0.0.0 --port $PORT
Docker
docker build -t mcp-atomictoolkit .
docker run --rm -p 7860:7860 mcp-atomictoolkit
🗂️ Project Structure
src/mcp_atomictoolkit/
mcp_server.py # FastMCP tool definitions
http_app.py # Starlette app + routing/endpoints
workflows/core.py # High-level workflow orchestration
analysis/ # Structure/trajectory/VACF analysis logic
structure_operations.py
optimizers.py
md_runner.py
artifact_store.py # Download artifact registration + URLs
🧪 Workflow Notes (for MCP clients)
Structure building coverage
build_structure_workflow supports:
- bulk (ASE
bulk) - surface (ASE
surface) - molecule (ASE
molecule) - supercell (multiplication of a base structure)
- amorphous/liquid (random packed structures)
- bicrystal and polycrystal (grain stacking/rotation)
For interfaces, doped structures, adsorbates, or custom slabs, prefer:
- Generate the structure with ASE/pymatgen (or an external builder), then
- Use
write_structure_workflowto persist the final geometry for downstream steps.
This ensures MCP callers can still handle advanced structures even when a specialized builder is required.
Builder kwargs cheat sheet
Common builder_kwargs for build_structure_workflow:
- surface:
indices,layers,vacuum - supercell:
size,base_structure_type,base_crystal_system,base_lattice_constant,base_kwargs - amorphous/liquid:
num_atoms,box_length,relax,relax_steps,relax_fmax - bicrystal:
grain_size,interface_axis,rotation_angle,rotation_axis,interface_gap - polycrystal:
num_grains,grain_size,rotation_angle
Optimization options
optimize_structure_workflow exposes:
max_steps,fmax(convergence)maxstep,alpha(BFGS step/damping controls)constraints(fixed_atoms,fixed_bonds,fixed_cell)
Single-point calculations
single_point_workflow computes energy, forces, and stress (if periodic)
without modifying the structure, making it suitable for quick evaluations.
MD integrators / ensembles
run_md_workflow supports:
velocityverlet/nve(NVE)langevin/nvt-langevin(NVT)nvt/nvt-berendsen(NVT)
Tune temperature_K, friction, and taut to control thermostat behavior.
📈 GitHub Pulse
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Star history
🤝 Contributing
- Keep outputs file-based and artifact-friendly.
- When adding tools, usually update both:
workflows/core.pymcp_server.py
- Preserve
http_app.pycompatibility behavior unless intentionally changing deployment contracts.
📄 License
MIT — see LICENSE.
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