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Quantabble — AP Science Misconception Diagnostics

REMOTE · QUANTABBLE-API.CHEMANDPHYSICSMASTERY.WORKERS.DEV

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

0 this week 70 Trust /100

Last scanned (23 hours ago)

Scores higher than 55% of remote servers

Reachable. Last reached 4 Nov 2026.

Category Education and Research

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security46
Transport & Reachability100
Schema Quality & AI Usability71
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 400 tokens (~200/item across 2 items; 2 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 2 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
  • Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Oct 26 −2
    • Tool “diagnose_response” rewrote its description, which is the text the model reads security
    • Tool “get_coverage” rewrote its description, which is the text the model reads security
    • Schema quality: pass → fail ▼ functional
  • 28 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Sept 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Aug 26 0
    • Tool “diagnose_response” rewrote its description, which is the text the model reads security
  • 26 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 25 Aug 26 0
    • Stability: 0.97 → pass security
  • 11 Aug 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 31 Jul 26 0
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://quantabble-api.chemandphysicsmastery.workers.dev

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=chemandphysicsmastery.workers.dev CN=WE1,O=Google Trust Services,C=US 5 Oct 2026 3 Jan 2027 ECDSA 256 ECDSA-SHA256 697a6fcee536008213168d053241b19b
SANs: chemandphysicsmastery.workers.dev, *.chemandphysicsmastery.workers.dev
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of quantabble-api.chemandphysicsmastery.workers.dev. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
dev. present 60074 8 Verified
workers.dev. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://quantabble-api.chemandphysicsmastery.workers.dev Verified 200
http (plaintext) http://quantabble-api.chemandphysicsmastery.workers.dev Served over HTTP 200
MCP tools · 2 exposed · ~400 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
diagnose_response ~329

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 whether it comes from our curated misconception library or was identified by the engine; where the topic sits in the AP course (unit and topic); why this reasoning loses credit on AP-style free-response scoring; what a credit-earning explanation must include; a recommended teaching move; and one probe question. A short ready-to-use tutor_response is included for simple integrations. Each response includes schema_id, the topic it matched: pass it back as schema_id on follow-up calls about the same topic to skip topic routing (faster and more consistent), and use it with curriculum_anchor to organize practice and reports by unit and topic. Use error_name to describe the error to teachers and students. Treat teaching_guidance as a recommendation, and prefer the probe question over reading reader_trap to the student verbatim. Send at least one full sentence of reasoning; not for single-word or numeric answers. Not affiliated with or endorsed by the College Board.

NameTypeReqDescription
schema_idstring–Optional. Target a specific schema (e.g. "AP_CHEM_1_1") if you already know the topic. If omitted, the API routes automatically across all 130 schemas.
student_responsestringyesThe student's own words — their explanation, reasoning, or answer in free-response form. At least one complete sentence with a stated reason works best.

No output schema declared.

No examples provided.

get_coverage ~71

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

Install

How do I install the Quantabble — AP Science Misconception Diagnostics MCP server?

Quantabble — AP Science Misconception Diagnostics is a hosted endpoint at https://quantabble-api.chemandphysicsmastery.workers.dev/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · quantabble-api.chemandphysicsmastery.workers.dev

# add to Claude Code
claude mcp add --transport http quantabble-ap-science-diagnostics 'https://quantabble-api.chemandphysicsmastery.workers.dev/'
Common questions

What is the Quantabble — AP Science Misconception Diagnostics MCP server?

Quantabble — AP Science Misconception Diagnostics is an MCP server listed in the public MCP registry as io.github.Quantabble/ap-science-diagnostics. Misconception detection for AP Chemistry & Physics 1. 90% catch rate vs 24% baseline. This page covers its hosted endpoint (https://quantabble-api.chemandphysicsmastery.workers.dev).

Is the Quantabble — AP Science Misconception Diagnostics MCP server safe to use?

Quantabble — AP Science Misconception Diagnostics scores 70 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Quantabble — AP Science Misconception Diagnostics MCP server expose?

Quantabble — AP Science Misconception Diagnostics exposes 2 tools: diagnose_response, get_coverage. Their descriptions and schemas cost roughly 400 tokens of context every time the server is loaded.

Does the Quantabble — AP Science Misconception Diagnostics MCP server require authentication?

No. We connected to Quantabble — AP Science Misconception Diagnostics without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the Quantabble — AP Science Misconception Diagnostics MCP server still maintained?

Quantabble — AP Science Misconception Diagnostics is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.