Claude Works MCP Server
claude-works
PyPI
v0.3.0
Published by andrewaws26 — 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.
An MCP server exposing a fit-first, honesty-enforced job-application pipeline as typed tools for LLM agents.
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:
| Points | Adoption-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 3
high Shell/command execution in server code (claude_works/resume.py)MTC-SRC-002
In the server's implementation (`claude_works/resume.py:109`): 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: sume first") proc = subprocess.run( ["/bin/zsh", str(PATHS.render_sh), name], capture_output=True, t
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 claude_works/resume.py
low Shell/command execution in packaging/dev tooling (tests/test_demo_examples.py)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_demo_examples.py:68`): 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: e[int, str]: proc = subprocess.run( [sys.executable, str(script), str(html)], capture_output=True, text=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 tests/test_demo_examples.py
low Shell/command execution in packaging/dev tooling (tests/test_policy_e2e.py)MTC-SRC-002
In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_policy_e2e.py:40`): 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: tr(tmp_path) proc = subprocess.run( [sys.executable, "-c", code], capture_output=True, text=True, ti
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 tests/test_policy_e2e.py
Tools 16
Each tool and what it can reach — statically extracted from the published source.
fetch_job_descriptioningests untrusted inputfetch_verification_codeingests untrusted inputbuild_resumeno sensitive capabilitycurate_queueno sensitive capabilitydiscover_jobsno sensitive capabilityget_search_angleno sensitive capabilityledger_summaryno sensitive capabilitylist_applicationsno sensitive capabilitylist_claim_fragmentsno sensitive capabilitylist_queueno sensitive capability
Show 6 more tools ↓
list_search_anglesno sensitive capabilityrecord_applicationno sensitive capabilityrender_resumeno sensitive capabilityscore_jobno sensitive capabilitysubmit_applicationno sensitive capabilityverify_resumeno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (16 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
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.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.3.0 latest |
A 93/100 | 3 | 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.
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-works --online --registry pypiMore in Productivity & Workflow
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