Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Publication-quality chemical structure and reaction rendering for AI agents.
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Pick the AI app you use, then copy the settings.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"chemglyph": {
"command": "uvx",
"args": [
"chemglyph"
]
}
}
}Run this in your terminal
claude mcp add chemglyph -- uvx chemglyphPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"chemglyph": {
"command": "uvx",
"args": [
"chemglyph"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"chemglyph": {
"type": "stdio",
"command": "uvx",
"args": [
"chemglyph"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The publisher (random-orbit) is not the repo owner (chemglyph); someone else may have listed it
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We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 10 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod
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MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
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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.
pip install chemglyph
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.
Three styles, same molecules (benzoic acid, caffeine, (S)-ibuprofen):
chemglyph.render_molecule(smiles) # screen: coloured O, N, S, Cl for screens and chat
chemglyph.render_molecule(smiles, style="acs1996") # black, ACS journal sizes chemglyph.render_molecule(smiles, style="textbook") # heavier lines for teaching
Every style draws at one physical scale. acs1996 follows the ACS Document 1996 settings: 14.4 pt bonds, 0.6 pt lines, 10 pt labels, and bond ends that stop 1.6 pt from each label. Two structures drawn with the same style have the same bond length and label size, so they line up in a paper. screen keeps that geometry and colours O, N, S, and Cl (classic CPK); textbook uses 0.8 pt lines and 12 pt labels.
The SVG size is given in points and the background is transparent unless transparent=False. fmt="png" takes a dpi, fmt="pdf" gives a vector PDF for LaTeX, and fmt="mol" a molfile with the drawn coordinates for a structure editor.
result = chemglyph.render_molecule("CC(=O)Oc1ccccc1C(=O)O", style="acs1996")
result.report # {'bond_length_pt': [14.4, 14.4], 'label_clearance_pt': 1.6, ...} png = chemglyph.render_molecule(smiles, style="acs1996", fmt="png", dpi=600)
The style names from 0.1 (acs, modern, textbook-cn) still work, map to acs1996, screen, and textbook, and give a deprecation warning; they go in 1.0.
These numbers are measured in the rendered output by the test suite (tests/test_profiles.py).
chemglyph.render_molecule(smiles, style="acs1996", number="12a")
The number is set in bold at the label size, centred half a bond length under the structure, as in ACS journals. It is also stored with the embedded structure (the molfile title line), so a figure still says which compound it shows when it is read back.
chemglyph.render_molecule(smiles, abbreviate=True) # Boc, Ts, TBS, OAc, NHBoc, ...
chemglyph.render_molecule(smiles, abbreviate=["Ph", "t-Bu", "CO2Me"])
abbreviate=True draws protecting and activating groups as labels, with the spellings of the J. Org. Chem. list of standard abbreviations. Acyl, carbamate, and benzyl groups are abbreviated only on heteroatoms, so a benzyl side chain stays a CH2 and a ring; silyl and sulfonyl groups also on carbon. A group on a terminal O or NH joins its label (OTs, BocHN). A label that would run into another label or a bond is drawn in full instead.
Only the drawing changes. The embedded structure, the identity, and the name check use every atom, and fmt="mol" keeps the abbreviations as SUP groups, which structure editors show as labels and can expand.
Figures from these profiles check themselves and carry their structure:
result = chemglyph.render_molecule(smiles, style="acs1996", name="cholesterol")
result.report["verified"] # bonds and labels drawn, wedges right, structure reads back result.report"name_check" # match, stereo_differs, mismatch, or unchecked chemglyph.read_structure(result.data) # the RDKit molecule embedded in the SVG or PNG
A name that belongs to another structure produces a warning, which catches a wrong SMILES from an AI model before the figure reaches a manuscript. Names resolve offline through the built-in Chinese dictionary or OPSIN.
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": "screen", } svg = chemglyph.render_reaction(spec)
Reaction schemes are not yet drawn at a fixed scale; that comes with the reaction phase of the roadmap.
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
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'
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.
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 |
One thing to know about clients. Some MCP clients, LM Studio included, only pass the text part of a tool result to the model and never display the attached image. The render tools write their PNG to ~/Downloads/chemglyph/ and return that path in the text, so you can always open the file yourself. If a model claims it rendered a figure but nothing shows up, ask it for the saved path rather than having it redraw the structure by hand.
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
The protocol, the A/B deck generator, the runbook, and the scorer are all in benchmarks/; the pass threshold and procedure are in benchmarks/RUNBOOK.md. Anyone can run it and contribute results.
No blind test against ChemDraw has been run yet, so no comparison is claimed. Every render is instead checked as it is made (see "Checked figures"), and tests/test_corpus.py renders a 416-structure corpus on every commit.
tests/test_corpus.py.Work proceeds in phases, and each phase ships as a minor version once its exit criteria pass. The plan, the standards ChemGlyph follows, and the quality gates are in docs/SPEC.md; release notes are in CHANGELOG.md.
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.
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.