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Quantabble — AP Science Misconception Diagnostics
io.github.Quantabble/ap-science-diagnostics · v1.0.0
No registry update 90+ days
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2024-11-05 |
| Rank score | — |
| Declared risk | Not declared (tools carry no read/destructive hints) |
| Capabilities declared | tools |
| Tool definitions | 2 tools · with description 100% · input schema is an object 100% · read/destructive hints 0% |
Description written by the publisher, not verified
Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.
Connect
streamable-http · https://quantabble-api.chemandphysicsmastery.workers.dev
claude mcp add --transport http ap-science-diagnostics https://quantabble-api.chemandphysicsmastery.workers.dev{
"mcpServers": {
"ap-science-diagnostics": {
"url": "https://quantabble-api.chemandphysicsmastery.workers.dev"
}
}
}Tools as reported by the server
diagnose_responseDiagnose a student's written explanation in AP Chemistry or AP Physics 1 (or the same topics in introductory chemistry or algebra-based physics). Returns structured diagnostic data for your own tutoring: the verdict; the student's specific misconception in plain words, with error_source telling youget_coverageReturns Quantabble's coverage and full topic catalog: every schema_id with its course, unit, topic number and title. Use it to check a topic is in scope and to look up the schema_id to pass to diagnose_response when you already know what the student is working on. Free; no model call.
JSON · Text for agents · Registry updated 2026-07-07