Predict organic chemistry reactions and explore step-by-step mechanisms. Type a reaction in plain English or SMILES — Sand Chemistry classifies the family, atom-maps the arrows, and walks you through every intermediate. Built for college-level orgo students.
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Explore capabilities (16)
read 15
write 1
Get
6
Grade
2
Render
2
Other capabilities
6
Predict reaction products
write
predict_reaction
Predict the products of a reaction, with mechanism classification.
Runs the platform's full prediction pipeline: IBM RXN for the products,
then this platform's own classifier for the reaction family/subtype, its
confidence policy, and any curated correction for reactions where IBM is
known to be wrong.
Use this rather than predicting from memory. Orgo-1 outcomes hinge on
details that are easy to get wrong (bulky base → elimination, tertiary
Predict reaction products — Predict the products of a reaction, with mechanism classification.
Runs the platform's full prediction pipeline: IBM RXN for the products,
then this platform's own classifier for the reaction family/subtype, its
confidence policy, and any curated correction for reactions where IBM is
known to be wrong.
Use this rather than predicting from memory. Orgo-1 outcomes hinge on
details that are easy to get wrong (bulky base → elimination, tertiary
Get reaction mechanism — Fetch the stepwise mechanism for an already-predicted reaction.
Returns the platform's real step decomposition — which bonds break and
form, in what order, with the pedagogical notes the app displays. Prefer
this over narrating a mechanism from memory: the step boundaries and
atom roles here are what the student is being taught.
Draw a molecule — Draw a 2D structure from SMILES, as an image.
Use this whenever a structure would help — naming practice, comparing
substrates, illustrating an answer, or building a flashcard front. Never
attempt to draw a structure as ASCII or describe it in place of showing it.
Returns the rendered image plus a stable URL for the same picture, which
can be embedded in a flashcard or a message.
Draw a reaction — Draw a reactants → products equation as an image.
Pair with `predict_reaction`: predict, then show the equation. Good for a
worked answer or a "predict the product" flashcard.
Look up a molecule — Resolve any molecule identifier to a canonical SMILES plus names.
Call this before `render_molecule` when you only have a name, and when a
student uses a name whose structure you should not guess at.
Identify functional groups — Name every functional group in a structure, with the atoms each covers.
Use this instead of reading the groups off a SMILES yourself. The
Orgo-1 confusables are exactly the ones that are easy to get wrong and
expensive to get wrong: an ester is not an ether plus a ketone, an amide
is not an amine plus a ketone, a phenol is not an alcohol, an aryl
halide is not an alkyl halide. This applies the platform's own
precedence rules, so its answer matches
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Predict organic chemistry reactions and explore step-by-step mechanisms. Type a reaction in plain English or SMILES — Sand Chemistry classifies the family, atom-maps the arrows, and walks you through every intermediate. Built for college-level orgo students.
How do I connect Sand Chemistry to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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Validate a SMILES string — Check a SMILES parses, and get its canonical form.
Cheap and free of external calls. Worth doing before you show a student a
structure you constructed yourself, or before writing SMILES onto a
flashcard.
Search course content — Search the lessons, curated practice problems and glossary at once.
The first call for any chemistry question a SandChemistry user asks: it
finds whether the curriculum already covers it, and in which lesson
section, so the answer can be grounded in checked text with citations
rather than recalled.
Glossary hits come back complete (they are short). Lesson hits return a
snippet plus the exact `get_lesson` arguments to read the full section.
List lessons — List every lesson: id, title, topic and how many sections it has.
Cheap. Use it to orient before `get_lesson`, or to answer "what does this
course cover".
Read a lesson — Read lesson content as markdown, with citations preserved.
Start with `detail='outline'` to see the sections, then fetch the one you
need. Quote this text and keep its citation links: the whole point is that
the chemistry is checked and attributable.
Molecules appear by name in the prose; the `molecules` field lists each
one's SMILES so you can `render_molecule` any of them.
Read one part of a lesson — Read one 8-12 minute chunk of a lesson, with its goal and end quiz.
Prefer this over `get_lesson(detail='full')` when teaching rather than
looking something up. A whole lesson runs to ~12k tokens; a part is a
sitting's worth of reading with an authored goal ("explain what a
functional group is and read a line-angle drawing without miscounting
carbons") and a quiz written against that goal.
Call with no `part` first to see the map, then walk them
Grade a lesson question — Grade an answer to a lesson question, and name the error behind a wrong one.
The reason to call this rather than judging yourself: every wrong option
in this course carries an authored line saying what specific mistake it
catches, written by the person who wrote the lesson. There are 528 of
them across the inline checks and 85 more across the molecule-map
regions. "Wrong, the answer is B" teaches nothing; "you read the C=O and
stopped before the o
Get a functional-group mapping exercise — Get a molecule-mapping exercise: name the group in each highlighted region.
This is the flagship exercise of the Functional Groups unit and the only
one in the product where a wrong answer produces a NAMED error class
rather than a verdict. Run it a region at a time: show the structure
(`render_molecule` on the returned SMILES), read out the palette, ask
what sits in the region's atoms, then grade with `grade_lesson_check`
using `<block_id>/<regio
Look up a term — Get the course's own definition of a term, plus related terms.
Preferable to defining from memory: this is the wording the student has
already read in the app, so your explanation reinforces rather than
competes with it.
Get practice problems — Get curated multiple-choice practice problems.
These are hand-written and independently verified, and every wrong
option carries a `why_wrong` line naming the error it catches — so a
wrong answer can be diagnosed, not just marked. Selection is
deterministic; pass `exclude_ids` to advance through a section.
Default behaviour withholds the answer key. Ask the student first, then
`grade_practice_answer`.
There is no functional-groups topic
Grade a practice answer — Grade an answer to a curated practice problem. The authority on correctness.
Always grade through this tool rather than deciding yourself — it holds
the verified key, and when the answer is wrong it returns `why_wrong`:
the authored line saying what that distractor was written to catch,
which is the actually useful thing to tell the student.
MCPBundles probed 16 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
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