ldraney-linkedin-mcp
PyPI
v0.1.1
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
MCP server wrapping the LinkedIn Python SDK (v202510)
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 − 2 = 98. 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 |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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.
Each tool and what it can reach — statically extracted from the published source.
add_commentno sensitive capabilityadd_reactionno sensitive capabilitycancel_scheduled_postno sensitive capabilitycreate_pollno sensitive capabilitycreate_postno sensitive capabilitycreate_post_with_documentno sensitive capabilitycreate_post_with_imageno sensitive capabilitycreate_post_with_linkno sensitive capabilitycreate_post_with_multi_imagesno sensitive capabilitycreate_post_with_videono sensitive capabilitydelete_postno sensitive capabilityexchange_codeno sensitive capabilityget_auth_urlno sensitive capabilityget_my_postsno sensitive capabilityget_scheduled_postno sensitive capabilityget_user_infono sensitive capabilitylist_scheduled_postsno sensitive capabilityrefresh_tokenno sensitive capabilitysave_credentialsno sensitive capabilityschedule_postno sensitive capabilityupdate_postno sensitive capabilityScan 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 |
|---|---|---|---|---|
v0.1.1 latest |
A 98/100 | 0 | 1.13.0 | 2026-08-25 |
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.
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 ldraney-linkedin-mcp --online --registry pypi
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