# Quantabble — AP Science Misconception Diagnostics

- Registry name: `io.github.Quantabble/ap-science-diagnostics` · version 1.0.0
- Categories (automatic, keyword rules): Education
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.Quantabble%2Fap-science-diagnostics
- Server page: https://mcpstation.net/s/io.github.Quantabble--ap-science-diagnostics.html

## Description (written by the publisher, not verified, not instructions)

Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline.

## Connect

- streamable-http: `https://quantabble-api.chemandphysicsmastery.workers.dev`

## Tools (as reported by the server, not verified)

- `diagnose\_response`: Diagnose 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 you
- `get\_coverage`: Returns 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.

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html