adelaidasofia-instagram-mcp
PyPI
v0.1.2
Published by adelaidasofia — 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.
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.
In the server's implementation (`instagram_mcp/auth.py:78`): 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: cret: str) -> None: subprocess.run( ["security", "add-generic-password", "-U", "-a", account, "-s", KEYCHAIN
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 instagram_mcp/auth.py
Untrusted-input tools ([get_messages]) co-exist with external-action tools ([send_message]). A prompt injection could cause unwanted external actions, though no direct sensitive-data leak path was found.
Evidence: untrusted [get_messages] → sinks [send_message]
Fix: Require confirmation for state-changing/egress actions triggered after processing untrusted content.
Location: flow get_messages → send_message
Each tool and what it can reach — statically extracted from the published source.
get_messagesingests untrusted inputsend_messagenetwork egressaccount_infono sensitive capabilityadd_accountno sensitive capabilitybusiness_discoveryno sensitive capabilitydelete_commentno sensitive capabilityget_account_insightsno sensitive capabilityget_audience_insightsno sensitive capabilityget_commentsno sensitive capabilityget_hashtag_mediano sensitive capabilityget_mediano sensitive capabilityget_media_insightsno sensitive capabilityget_mentionsno sensitive capabilityget_profileno sensitive capabilityhealthcheckno sensitive capabilityhide_commentno sensitive capabilitylist_accountsno sensitive capabilitylist_conversationsno sensitive capabilitylist_mediano sensitive capabilitypublish_carouselno sensitive capabilitypublish_imageno sensitive capabilitypublish_reelno sensitive capabilitypublish_storyno sensitive capabilitypublish_videono sensitive capabilitypublishing_limitno sensitive capabilityremove_accountno sensitive capabilityreply_to_commentno sensitive capabilitysearch_hashtagno sensitive capabilityset_default_accountno sensitive capabilityCross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).
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 |
|---|---|---|---|---|
v0.1.2 latest |
A 93/100 | 2 | 1.9.0 | 2026-07-23 |
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.
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