Eg4 MCP Server

eg4-mcp-server PyPI v0.1.5

Published by matt-dreyer — 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.

Model Context Protocol server for EG4 solar inverter monitoring and control

View on PyPI ↗ Repository ↗ Raw report (JSON) ↗

Trust grade

92/100

Last scanned 2026-08-25 get badge →

Trust

A · 92/100

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

Moderate

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.

A Why this grade threat 96 − adoption risk = 92/100

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 − 3.6 = 96. What the published surface and source actually contain:

Points	What was found	Category
−3.6	Near-miss of exa-mcp-server MTC-SUP-005	supply-chain

2. Client adoption risk — 96 − 4 = 92. 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.

Findings 1

medium Near-miss of exa-mcp-server (edit distance 2)MTC-SUP-005

"eg4-mcp-server" is edit-distance 2 from the package "exa-mcp-server". Verify this is the intended package.

Fix: Confirm you meant "exa-mcp-server". Install packages only from their documented, official name.

Location: package eg4-mcp-server

Tools 9

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

fetch_configurationingests untrusted input
get_current_productionno sensitive capability
get_daily_chart_datano sensitive capability
get_historical_datano sensitive capability
get_maintenance_insightsno sensitive capability
get_performance_analysisno sensitive capability
get_system_alertsno sensitive capability
get_system_detailsno sensitive capability
get_system_healthno sensitive capability

What this scan could not see

Tools were statically extracted from the published source (9 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
`v0.1.5` latest	A 92/100	1	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.

Markdown (GitHub README)

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HTML

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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 eg4-mcp-server --online --registry pypi

Use the free API → How scoring works

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