Classroom Suite MCP Server

classroom-suite-mcp PyPI v1.0.0

Published by your_username — 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.

Unified MCP server for Google Classroom, Drive, and Docs - seamlessly integrate education tools with AI assistants

Trust grade
B
87/100
Last scanned get badge →
Trust
B · 87/100
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
High
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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B Why this grade threat 94 − adoption risk = 87/100

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 − 6.3 = 94. What the published surface and source actually contain:

PointsWhat was foundCategory
−6.3 Unsafe deserialization MTC-SRC-007 permissions

2. Client adoption risk — 94 − 7 = 87. 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
−6 capability blast radius (high) — 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 4

critical Completed toxic-flow trifecta across toolsMTC-FLOW-002

This server (without client built-ins) exposes a complete data-exfiltration chain: download_file → list_files → upload_file. Untrusted input is ingested, private data is read, and it can be sent to an external sink via the agent composing the tools (→). Static analysis proves the primitive exists, not that a specific run will occur.

Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.

Location: flow download_file → list_files → upload_file

medium Tool "delete_file" can modify the filesystemMTC-CAP-002

Tool "delete_file" can write, overwrite or delete files (keyword "delete_file" in tool name). Verify it is scoped to a safe directory.

Fix: Constrain file operations to an explicit, non-sensitive root; reject path traversal.

Location: tool delete_file

medium Unsafe deserialization (src/classroom_suite_mcp/auth.py)MTC-SRC-007

In the server's implementation (`src/classroom_suite_mcp/auth.py:78`): Deserializing untrusted data with these APIs can execute arbitrary code (a well-known RCE gadget class). This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: creds = pickle.load(token) else: creds = Credentials.from_authorized_user_

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server src/classroom_suite_mcp/auth.py

low Mutating tool "delete_file" declares no destructiveHintMTC-CAP-005

Tool "delete_file" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.

Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.

Location: tool delete_file

Tools 17

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

  • delete_filewrites files
  • download_fileingests untrusted input
  • list_filesreads sensitive data
  • upload_filenetwork egress
  • create_docno sensitive capability
  • create_folderno sensitive capability
  • export_pdfno sensitive capability
  • get_assignmentno sensitive capability
  • get_courseno sensitive capability
  • list_assignmentsno sensitive capability
Show 7 more tools ↓
  • list_coursesno sensitive capability
  • list_submissionsno sensitive capability
  • read_docno sensitive capability
  • search_filesno sensitive capability
  • share_fileno sensitive capability
  • submit_assignmentno sensitive capability
  • update_docno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

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
v1.0.0 latest B 87/100 4 1.13.0 2026-08-25

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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: B · 87/100
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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 classroom-suite-mcp --online --registry pypi

Use the free API → How scoring works

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