Claude 101 MCP Server

claude-101 PyPI v0.2.2

Published by claude-world — 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.

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 27

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

  • process_sqlreads sensitive data
  • analyze_codeno sensitive capability
  • analyze_datano sensitive capability
  • analyze_financialsno sensitive capability
  • analyze_surveyno sensitive capability
  • build_comparison_matrixno sensitive capability
  • build_support_responseno sensitive capability
  • create_adrno sensitive capability
  • draft_blog_postno sensitive capability
  • draft_emailno sensitive capability
Show 17 more tools ↓
  • evaluate_decisionno sensitive capability
  • format_social_contentno sensitive capability
  • generate_test_casesno sensitive capability
  • get_guideno sensitive capability
  • list_guidesno sensitive capability
  • parse_meeting_notesno sensitive capability
  • plan_projectno sensitive capability
  • prepare_interviewno sensitive capability
  • review_legal_documentno sensitive capability
  • scaffold_api_docno sensitive capability
  • scaffold_codeno sensitive capability
  • scaffold_prdno sensitive capability
  • scaffold_proposalno sensitive capability
  • scaffold_tech_docno sensitive capability
  • search_guidesno sensitive capability
  • structure_storyno sensitive capability
  • summarize_documentno 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
v0.2.2 latest A 96/100 0 1.9.0 2026-07-23

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
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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 claude-101 --online --registry pypi

Use the free API → How scoring works

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