Mastr MCP Server

mastr-mcp-server PyPI v1.0.1

Published by ulircs — 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 the German Marktstammdatenregister (MaStR) — energy market register of the Bundesnetzagentur

Trust grade
A
99/100
Last scanned get badge →
Trust
A · 99/100
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
Minimal
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 = 99/100

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 − 1 = 99. 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
−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 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 21

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

  • get_actorno sensitive capability
  • get_api_quotano sensitive capability
  • get_balancing_areasno sensitive capability
  • get_catalog_categoriesno sensitive capability
  • get_catalog_valuesno sensitive capability
  • get_grid_connectionno sensitive capability
  • get_local_timeno sensitive capability
  • get_locationno sensitive capability
  • get_recent_changesno sensitive capability
  • get_unitno sensitive capability
Show 11 more tools ↓
  • search_actors_publicno sensitive capability
  • search_actors_soapno sensitive capability
  • search_gas_consumption_publicno sensitive capability
  • search_gas_consumption_soapno sensitive capability
  • search_gas_production_publicno sensitive capability
  • search_gas_production_soapno sensitive capability
  • search_grid_connections_publicno sensitive capability
  • search_power_consumption_publicno sensitive capability
  • search_power_consumption_soapno sensitive capability
  • search_power_generation_publicno sensitive capability
  • search_power_generation_soapno sensitive capability

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
v1.0.1 latest A 99/100 0 1.12.1 2026-07-27

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.

MCP Trust Score: A · 99/100
Markdown (GitHub README)
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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 mastr-mcp-server --online --registry pypi

Use the free API → How scoring works

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