Adelaidasofia Instagram MCP Server

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.

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 2

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

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

medium Untrusted input can drive an external actionMTC-FLOW-005

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

Tools 29

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

  • get_messagesingests untrusted input
  • send_messagenetwork egress
  • account_infono sensitive capability
  • add_accountno sensitive capability
  • business_discoveryno sensitive capability
  • delete_commentno sensitive capability
  • get_account_insightsno sensitive capability
  • get_audience_insightsno sensitive capability
  • get_commentsno sensitive capability
  • get_hashtag_mediano sensitive capability
Show 19 more tools ↓
  • get_mediano sensitive capability
  • get_media_insightsno sensitive capability
  • get_mentionsno sensitive capability
  • get_profileno sensitive capability
  • healthcheckno sensitive capability
  • hide_commentno sensitive capability
  • list_accountsno sensitive capability
  • list_conversationsno sensitive capability
  • list_mediano sensitive capability
  • publish_carouselno sensitive capability
  • publish_imageno sensitive capability
  • publish_reelno sensitive capability
  • publish_storyno sensitive capability
  • publish_videono sensitive capability
  • publishing_limitno sensitive capability
  • remove_accountno sensitive capability
  • reply_to_commentno sensitive capability
  • search_hashtagno sensitive capability
  • set_default_accountno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

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
v0.1.2 latest A 93/100 2 1.9.0 2026-07-23

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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 adelaidasofia-instagram-mcp --online --registry pypi

Use the free API → How scoring works

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