somanylemons-mcp
PyPI
v0.2.0
Published by nomiddleinc — 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 SoManyLemons — AI-powered video reels, LinkedIn content, and brand management via Claude Code, Cursor, or any MCP client.
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 − 4 = 96. 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 |
|---|---|
| −3 | capability blast radius (moderate) — 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.
Tool "create_reels" takes a URL/host parameter "url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool create_reels · inputSchema.properties.url
Tool "create_reels" takes a URL/host parameter "webhook_url" with no allowlist/pattern. An outbound-request tool with an unbounded destination enables SSRF and cloud-metadata access (e.g. 169.254.169.254).
Fix: Allowlist destinations or constrain the parameter; block private/link-local addresses server-side.
Location: tool create_reels · inputSchema.properties.webhook_url
Each tool and what it can reach — statically extracted from the published source.
create_reelsnetwork egressupload_filenetwork egresscheck_job_statusno sensitive capabilitycheck_upload_statusno sensitive capabilitycreate_brandno sensitive capabilitycreate_draftno sensitive capabilitycreate_image_quoteno sensitive capabilitycreate_upload_sessionno sensitive capabilityextract_quotesno sensitive capabilitygenerate_contentno sensitive capabilityget_usageno sensitive capabilitylist_brandsno sensitive capabilitylist_draftsno sensitive capabilitylist_jobsno sensitive capabilitylist_plansno sensitive capabilitylist_templatesno sensitive capabilityrewrite_contentno sensitive capabilityscore_contentno sensitive capabilitytranscribeno 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 |
|---|---|---|---|---|
v0.2.0 latest |
A 96/100 | 2 | 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 somanylemons-mcp --online --registry pypi
Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.
Aleph's official SiliconFlow media-generation MCP server (image / video / TTS)
MCP server for image generation using Google Gemini AI
Ambience AI MCP Server - Generate images, videos, and audio through Model Context Protocol
MCP server exposing every endpoint of the AstroWay Calculation API as tools — natal, synastry, transits, Vedic dashas, Tarot, Numerology, Human Design, AI horoscopes — for Claude Desktop, Cursor and any MCP-compatible AI agent.
Audio-guide and trip-planning tools for 1,100+ cities from Audiala. Free, no API key.