Redbee MCP Server
redbee-mcp
PyPI
v1.4.2
Published by tamsibesson — 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.
MCP Server for Red Bee Media OTT Platform - MCP Interface for Exposure APIs
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 − 1 = 99. 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 |
|---|---|
| −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
Tools 37
Each tool and what it can reach — statically extracted from the published source.
add_payment_methodno sensitive capabilityadd_user_profileno sensitive capabilitycancel_purchase_subscriptionno sensitive capabilitychange_user_passwordno sensitive capabilitycreate_anonymous_sessionno sensitive capabilitydelete_user_deviceno sensitive capabilityget_account_purchasesno sensitive capabilityget_account_transactionsno sensitive capabilityget_active_channelsno sensitive capabilityget_asset_collection_entriesno sensitive capability
Show 27 more tools ↓
get_asset_detailsno sensitive capabilityget_asset_thumbnailno sensitive capabilityget_assets_by_tagno sensitive capabilityget_epg_for_channelno sensitive capabilityget_episodes_for_seasonno sensitive capabilityget_offeringsno sensitive capabilityget_playback_infono sensitive capabilityget_public_asset_detailsno sensitive capabilityget_seasons_for_seriesno sensitive capabilityget_stored_payment_methodsno sensitive capabilityget_system_configno sensitive capabilityget_system_timeno sensitive capabilityget_user_devicesno sensitive capabilityget_user_locationno sensitive capabilityget_user_preferencesno sensitive capabilityget_user_profilesno sensitive capabilitylist_assetsno sensitive capabilitylogin_userno sensitive capabilitylogout_userno sensitive capabilitypurchase_product_offeringno sensitive capabilitysearch_assets_autocompleteno sensitive capabilitysearch_content_v2no sensitive capabilitysearch_multi_v3no sensitive capabilityselect_user_profileno sensitive capabilityset_user_preferencesno sensitive capabilitysignup_userno sensitive capabilityvalidate_session_tokenno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (37 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 |
|---|---|---|---|---|
v1.4.2 latest |
A 99/100 | 0 | 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.
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