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Publication-quality chemical structure and reaction rendering for AI agents.
About
Publication-quality chemical structure and reaction rendering for AI agents.
Security Report
ChemGlyph is a well-structured chemistry rendering library with clean code, proper input validation, and appropriate security practices. The MCP server implementation uses stdio transport with no authentication (appropriate for local AI agent integration), and permissions are tightly scoped to chemical structure processing. Minor code quality observations do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
6 files analyzed · 10 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-random-orbit-chemglyph": {
"args": [
"chemglyph"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
ChemGlyph
Publication-quality chemical structure and reaction rendering for AI agents. ChemGlyph is the KaTeX of chemistry: a rendering layer, a validation layer, and an MCP interface on top of RDKit.
Install
pip install chemglyph
Render a molecule
import chemglyph
result = chemglyph.render_molecule("c1ccccc1") # benzene
open("benzene.svg", "w").write(result.data)
render_molecule takes SMILES, InChI, or molblock and returns SVG (or PNG)
plus canonical_smiles, mol_formula, mol_weight, and warnings.
Styles
Three styles, same molecule (benzoic acid, caffeine, (S)-ibuprofen):

chemglyph.render_molecule(smiles, style="acs") # black/white, ACS journal
chemglyph.render_molecule(smiles, style="modern") # colored heteroatoms, screens
chemglyph.render_molecule(smiles, style="textbook-cn") # bold monochrome, textbook
All styles default to a transparent background (transparent=True) and
support fmt="png".
Reactions
spec = {
"steps": [
{
"reactants": ["OC(=O)c1ccccc1O", "CC(=O)OC(C)=O"],
"products": ["CC(=O)Oc1ccccc1C(=O)O", "CC(=O)O"],
"conditions": {"above": "H₂SO₄ (cat.)", "below": "rt, 15 min"},
"yield": "89%",
"arrow": "forward",
}
],
"style": "modern",
}
svg = chemglyph.render_reaction(spec)
Conditions are pre-formatted Unicode text, so pass H₂SO₄, not H2SO4.
ChemGlyph does not parse formulas out of text. The full schema
(multi-step chains, equilibrium and retro arrows, line wrapping) is in
docs/reaction_schema.md.
The aspirin demo writes a two-step route:
python examples/aspirin_synthesis.py # writes examples/aspirin_synthesis.svg
Validation
validate_structure reports parse errors and applies four quick fixes:
unmatched brackets and ring closures (reported, not guessed), kekulization
failures of lowercase aromatic atoms, and nitrogen valence errors via a
formal [N+]. Anything else passes RDKit's message through unchanged.
report = chemglyph.validate_structure("c1cccc1")
report.fixes[0].description # 'lowercase aromatic atoms could not be kekulized...'
report.fixes[0].fixed_smiles # 'C1CCCC1'
Naming
chemglyph.parse_name("aspirin") # 'CC(=O)Oc1ccccc1C(=O)O'
English IUPAC and common names resolve offline through OPSIN
(pip install 'chemglyph[opsin]', plus a Java runtime). Chinese names use
the built-in dictionary, and the library API accepts a translator callable
for names that are not in it:
chemglyph.parse_name("阿司匹林") # 'CC(=O)Oc1ccccc1C(=O)O'
chemglyph.parse_name("六甲基苯", translator=to_english)
ChemGlyph itself never calls an online service, including for translation.
MCP server
Run the bundled console script (stdio transport):
chemglyph-mcp
Claude Desktop registration (macOS:
~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"chemglyph": {
"command": "chemglyph-mcp"
}
}
}
| Tool | Use it when | Returns |
|---|---|---|
render_molecule | the user asks to draw one structure from SMILES/InChI/molblock | PNG image plus formula, MW, warnings (SVG source on request) |
render_reaction | the user asks for a reaction or synthesis route | PNG image of the reaction scheme |
validate_structure | a SMILES may be malformed and you need a repair | validation report JSON |
parse_name | the user gives a name like "aspirin" instead of SMILES | canonical SMILES or an error |
Benchmarks
benchmarks/ holds the fixed 20-molecule blind test and a generator that
writes shuffled, numbered PNG/SVG figures plus answer_key.json:
python benchmarks/generate_blind_test.py --seed 1234
Pass criteria: two or three chemical practitioners blind-pick the figures they would publish; ChemGlyph passes at 40% or higher. Ferrocene and the free-base porphyrin are excluded from the denominator and recorded as known limitations. The procedure is documented in benchmarks/RUNBOOK.md.

Blind test vs ChemDraw: pending. The image above compares ChemGlyph modern
with RDKit's stock output; ChemDraw panels are added by hand during the
review, and the image is regenerated afterwards.
Roadmap
- v0.2: Chinese naming (built-in dictionary plus translator hook), down-arrow line wrapping, arrow column alignment, cropped fragments. All shipped.
- Next: mechanism (electron-pushing) arrows, see docs/progress/v02-research.md.
- Later: a larger Chinese dictionary as an optional data extra.
Non-goals
No structure editor GUI (Ketcher/ChemDraw competition), no 3D visualization, no retrosynthesis or property prediction, no online database queries, and no automatic mechanism generation. The full list is in the project specification.
Development
python -m venv .venv
.venv/bin/pip install -e ".[dev]"
.venv/bin/ruff check . && .venv/bin/ruff format . && .venv/bin/pytest
Python 3.11+, RDKit 2024.9+, MIT license. All errors derive from
chemglyph.errors.ChemGlyphError.
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