Gemini Image (channel47) MCP Server
gemini-image-mcp
PyPI
v1.1.1
Published by channel47 — 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 AI-powered image generation using Google Gemini models
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 Sensitive-source and external-sink co-existMTC-FLOW-004
Tools that read sensitive data ([list_files, delete_file]) and tools that can send data out ([upload_file]) are exposed together. An agent can move private data to the sink.
Evidence: sources [list_files, delete_file] → sinks [upload_file]
Fix: Keep secret-reading and egress capabilities on separate, separately-approved servers.
Location: flow list_files → upload_file
medium Tool "delete_file" can modify the filesystemMTC-CAP-002
Tool "delete_file" can write, overwrite or delete files (keyword "delete_file" in tool name). Verify it is scoped to a safe directory.
Fix: Constrain file operations to an explicit, non-sensitive root; reject path traversal.
Location: tool delete_file
low Mutating tool "delete_file" declares no destructiveHintMTC-CAP-005
Tool "delete_file" can mutate/egress but declares no destructiveHint. Clients that don't default to spec-safe behavior may not prompt before running it.
Fix: Declare accurate annotations, and gate destructive tools on user confirmation regardless.
Location: tool delete_file
Tools 4
Each tool and what it can reach — statically extracted from the published source.
delete_filereads sensitive datawrites fileslist_filesreads sensitive dataupload_filenetwork egressgenerate_imageno 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
- Tools were statically extracted from the published source (4 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 |
|---|---|---|---|---|
v1.1.1 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 gemini-image-mcp --online --registry pypiOther implementations of Gemini Image 7
Independent packages implementing the same tool, scanned with the same engine. Compare all 8 side by side →
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MCP server for image generation and modification using Google Gemini API
An MCP server for image generation using the Gemini API.
An MCP server for generating images using Google's Gemini API
MCP server for Google Gemini image generation with Imagen 4 support
MCP server for Google Gemini image generation and editing
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