crystallography-mcp
Enables CIF inspection, d-spacing and powder pattern calculations, triacylglycerol polymorph fingerprinting, and structure comparison through pymatgen.
README
Crystallography MCP server
CIF inspection, d-spacings, powder patterns, and triacylglycerol polymorph fingerprinting, backed by pymatgen.
Built 21 August 2026 for the Laurelate bay-nut-fat work, but domain-general.
Why this and not a VESTA MCP
VESTA has no scripting interface — no documented command-line arguments, no
batch mode, no macros, no headless operation. An MCP over it could only run
open -a VESTA file.cif and screenshot the window. pymatgen exposes the actual
science, so that is what this wraps.
Keep VESTA as a human viewer. It is genuinely good at that.
Setup
Needs Python ≥3.10 (current pymatgen requires it) and its own venv:
python3 -m venv ~/.venvs/crystal
~/.venvs/crystal/bin/python -m pip install -r requirements.txt
Register with Claude Code at user scope, so it loads in every session:
claude mcp add -s user crystallography -- \
"$HOME/.venvs/crystal/bin/python" \
"$HOME/Documents/crystallography-mcp/server.py"
Check and remove:
claude mcp list
claude mcp remove -s user crystallography
It works with any MCP client, not just Claude Code — it is a plain stdio server,
so point your client at <venv python> server.py.
Tools
| Tool | What it does |
|---|---|
list_datablocks |
Enumerate the structures inside a CIF. Call this first on an unfamiliar file. |
read_structure |
Cell, volume, composition, density, spglib space group |
d_spacings |
d and 2θ for specific [h,k,l] reflections |
powder_pattern |
Full calculated pattern with hkl indices and relative intensities |
fingerprint_structure |
α / β′ / β verdict from a structure's short spacings |
fingerprint_pattern |
α / β′ / β verdict from an experimental scan (list or two-column file) |
compare_structures |
pymatgen StructureMatcher fit + RMS displacement |
The multi-datablock trap
Some deposited CIFs hold more than one structure. vanlangevelde2000_CLC_MPM_bprime.cif
contains both CLC (a = 57.368 Å, the β′ template that matters) and MPM
(a = 76.21 Å). Taking block 0 silently is how you end up analysing the wrong
structure. list_datablocks exists to make that visible.
Polymorph fingerprints
Diagnostic subcell short spacings, Å:
| Form | Lines | Signature |
|---|---|---|
| α | 4.15 | single broad line, hexagonal subcell |
| β′ | 4.34 / 4.11 + 3.85 / 3.80 | doublet, orthorhombic perpendicular |
| β | 4.60, 3.85, 3.70 | strong 4.6 singlet, triclinic parallel |
Validated against both solved templates, which have known answers:
vanlangevelde2000_CLC_MPM_bprime.cifblock 0 → BETA_PRIME ✓vanlangevelde1999_PPP_beta.cif→ BETA ✓
And against synthetic patterns built from each reference line set → correct verdict in all three cases.
Known limits
- Intensities are not Rietveld-grade. Tabulated form factors, Debye–Waller omitted. Peak positions are exact; relative intensities are good enough to rank lines, not to refine occupancies.
- Peak picking is deliberately simple — local maxima with a flat-baseline
prominence filter. For a weak or noisy scan, lower
min_prominenceand eyeball the picked list before trusting the verdict. - spglib may disagree with the CIF's declared space group. It re-derives
symmetry from coordinates, and published long-chain structures often carry
disordered or split chain-end sites. Loosen
symprecbefore concluding anything. compare_structuresreturning False across different chain lengths is expected, not a bug — a C16 template will never match a C10/C12 fat.
Provenance note
This server found a real bug in R&D/modeling/baynutfat/structure.py: the
I-centring translation was being applied twice for β′-CLC (the CIF already lists
all 8 centred operators), leaving 4 duplicated carbons — 284 C where there
should be 280. Peak positions were unaffected, structure factors were slightly
off. Guarded now by acceptance test T10 and modeling/tests/crosscheck_pymatgen.py.
That is the argument for having a second implementation available.
Citing
If a result from this ends up in a publication, cite pymatgen — it does the real work:
S.P. Ong et al., Comput. Mater. Sci. 68, 314–319 (2013).
And if you rendered anything in VESTA alongside it, VESTA asks to be cited too:
K. Momma and F. Izumi, J. Appl. Crystallogr. 44, 1272–1276 (2011).
License
MIT — see LICENSE.
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