Xiaoya Teacher MCP Server

xiaoya-teacher-mcp-server PyPI v1.5.2

Published by sav1our520 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

小雅教育管理MCP服务器 - 课程资源、Markdown富文本题目和学生答卷批阅工具

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 59

Each tool and what it can reach — statically extracted from the published source.

  • batch_update_resource_downloadingests untrusted input
  • download_fileingests untrusted input
  • read_file_by_markdownreads sensitive data
  • auth_statusno sensitive capability
  • batch_create_questionsno sensitive capability
  • batch_update_resource_visibilityno sensitive capability
  • configure_paper_basicsno sensitive capability
  • create_answer_itemno sensitive capability
  • create_attachment_questionno sensitive capability
  • create_blank_answer_itemsno sensitive capability
Show 49 more tools ↓
  • create_code_questionno sensitive capability
  • create_course_resourceno sensitive capability
  • create_fill_blank_questionno sensitive capability
  • create_multiple_choice_questionno sensitive capability
  • create_questionno sensitive capability
  • create_short_answer_questionno sensitive capability
  • create_single_choice_questionno sensitive capability
  • create_true_false_questionno sensitive capability
  • delete_answer_itemno sensitive capability
  • delete_course_resourceno sensitive capability
  • delete_questionsno sensitive capability
  • get_answer_fileno sensitive capability
  • get_student_grading_bundleno sensitive capability
  • grade_student_paperno sensitive capability
  • grade_student_questionno sensitive capability
  • move_answer_itemno sensitive capability
  • move_resourceno sensitive capability
  • office_create_questionsno sensitive capability
  • query_attendance_recordsno sensitive capability
  • query_course_resourcesno sensitive capability
  • query_course_resources_summaryno sensitive capability
  • query_group_classesno sensitive capability
  • query_group_discussion_task_detailno sensitive capability
  • query_group_order_settingno sensitive capability
  • query_group_snapshotno sensitive capability
  • query_group_task_noticesno sensitive capability
  • query_group_tasksno sensitive capability
  • query_paperno sensitive capability
  • query_paper_summaryno sensitive capability
  • query_preview_student_paperno sensitive capability
  • query_resource_attributesno sensitive capability
  • query_resource_folder_snapshotno sensitive capability
  • query_single_attendance_studentsno sensitive capability
  • query_teacher_groupsno sensitive capability
  • query_test_resultno sensitive capability
  • revise_student_markno sensitive capability
  • server_statusno sensitive capability
  • submit_student_markno sensitive capability
  • update_code_test_casesno sensitive capability
  • update_fill_blank_answerno sensitive capability
  • update_paper_question_orderno sensitive capability
  • update_paper_randomizationno sensitive capability
  • update_questionno sensitive capability
  • update_question_optionsno sensitive capability
  • update_resource_nameno sensitive capability
  • update_resource_sortno sensitive capability
  • update_short_answer_answerno sensitive capability
  • update_true_false_answerno sensitive capability
  • withdraw_student_markno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.5.2 latest A 96/100 0 1.13.0 2026-08-25

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
Markdown (GitHub README)
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan xiaoya-teacher-mcp-server --online --registry pypi

Use the free API → How scoring works

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