Sensei MCP Server

sensei-mcp PyPI v0.9.0

Published by amarodeabreu — 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.

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Trust grade
A
93/100
Last scanned get badge →
Trust
A · 93/100
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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A Why this grade threat 100 − adoption risk = 93/100

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 − 7 = 93. 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 5

high Dynamic code execution in server code (integrations/pre-commit/sensei_security_review.py)MTC-SRC-001

In the server's implementation (`integrations/pre-commit/sensei_security_review.py:37`): Evaluating strings as code is the most direct RCE primitive; if any tool input reaches it, the server executes attacker-chosen code. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: 'message': 'Use of eval() can be dangerous' }, 'weak_crypto': { 'pattern': r'(md5|sha1)\s*\(',

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 integrations/pre-commit/sensei_security_review.py

high Shell/command execution in server code (integrations/pre-commit/sensei_consistency_check.py)MTC-SRC-002

In the server's implementation (`integrations/pre-commit/sensei_consistency_check.py:26`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: files result = subprocess.run( ["git", "diff", "--cached", "--name-only"], capture_outp

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 integrations/pre-commit/sensei_consistency_check.py

high Shell/command execution in server code (integrations/pre-commit/sensei_cost_check.py)MTC-SRC-002

In the server's implementation (`integrations/pre-commit/sensei_cost_check.py:61`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: files result = subprocess.run( ["git", "diff", "--cached", "--name-only"], capture_outp

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 integrations/pre-commit/sensei_cost_check.py

high Shell/command execution in server code (integrations/pre-commit/sensei_security_review.py)MTC-SRC-002

In the server's implementation (`integrations/pre-commit/sensei_security_review.py:54`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: try: result = subprocess.run( ["git", "diff", "--cached"], capture_output=True,

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 integrations/pre-commit/sensei_security_review.py

high Shell/command execution in server code (src/sensei_mcp/server.py)MTC-SRC-002

In the server's implementation (`src/sensei_mcp/server.py:457`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: staged result = subprocess.run( ["git", "diff", "--name-only", "--staged"], cwd=project_

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/sensei_mcp/server.py

Tools 25

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

  • analyze_changesno sensitive capability
  • check_consistencyno sensitive capability
  • compare_sessionsno sensitive capability
  • consult_skillno sensitive capability
  • export_consultationno sensitive capability
  • export_session_summaryno sensitive capability
  • get_engineering_contextno sensitive capability
  • get_engineering_guidanceno sensitive capability
  • get_mcp_workflow_templateno sensitive capability
  • get_persona_contentno sensitive capability
Show 15 more tools ↓
  • get_session_contextno sensitive capability
  • get_session_insightsno sensitive capability
  • get_session_summaryno sensitive capability
  • list_available_skillsno sensitive capability
  • list_demosno sensitive capability
  • list_mcp_workflow_templatesno sensitive capability
  • list_sessionsno sensitive capability
  • merge_sessionsno sensitive capability
  • query_specific_standardno sensitive capability
  • record_consultationno sensitive capability
  • record_decisionno sensitive capability
  • run_demono sensitive capability
  • suggest_mcps_for_queryno sensitive capability
  • suggest_personas_for_queryno sensitive capability
  • validate_against_standardsno 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
v0.9.0 latest A 93/100 5 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: A · 93/100
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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 sensei-mcp --online --registry pypi

Use the free API → How scoring works

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