Arelle MCP Server

arelle-mcp PyPI v2.1.1

Published by thekinghippopotamus — 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.

The definitive MCP server for XBRL processing, validation, and financial analysis — powered by Arelle

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
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.
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A Why this grade threat 100 − adoption risk = 96/100

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 − 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:

PointsAdoption-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

low Shell/command execution in packaging/dev tooling (tests/test_stdout_is_clean.py)MTC-SRC-002

In a packaging/dev/install script (shipped, but not the server runtime) (`tests/test_stdout_is_clean.py:59`): 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: cess[bytes]: return subprocess.run( [sys.executable, "-c", LOAD_SCRIPT, str(path)], capture_output=T

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 tests/test_stdout_is_clean.py

Tools 46

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

  • xbrl_browse_taxonomyingests untrusted input
  • xbrl_edgar_bulk_factsingests untrusted input
  • xbrl_fetch_sec_filingingests untrusted input
  • xbrl_anomaly_detectionno sensitive capability
  • xbrl_calculation_treeno sensitive capability
  • xbrl_check_calculationsno sensitive capability
  • xbrl_close_filingno sensitive capability
  • xbrl_company_factsno sensitive capability
  • xbrl_compare_filingsno sensitive capability
  • xbrl_concept_detailsno sensitive capability
Show 36 more tools ↓
  • xbrl_create_instanceno sensitive capability
  • xbrl_dimension_structureno sensitive capability
  • xbrl_dts_comparisonno sensitive capability
  • xbrl_edgar_company_infono sensitive capability
  • xbrl_edgar_filing_indexno sensitive capability
  • xbrl_edgar_insider_tradesno sensitive capability
  • xbrl_edgar_searchno sensitive capability
  • xbrl_export_conceptsno sensitive capability
  • xbrl_export_csvno sensitive capability
  • xbrl_export_dtsno sensitive capability
  • xbrl_export_jsonno sensitive capability
  • xbrl_extract_factsno sensitive capability
  • xbrl_extract_textno sensitive capability
  • xbrl_fact_detailsno sensitive capability
  • xbrl_filing_summaryno sensitive capability
  • xbrl_financial_ratiosno sensitive capability
  • xbrl_get_cover_pageno sensitive capability
  • xbrl_get_exhibitsno sensitive capability
  • xbrl_get_footnotesno sensitive capability
  • xbrl_get_html_tablesno sensitive capability
  • xbrl_get_raw_xmlno sensitive capability
  • xbrl_list_filingsno sensitive capability
  • xbrl_list_formulasno sensitive capability
  • xbrl_list_sectionsno sensitive capability
  • xbrl_load_filingno sensitive capability
  • xbrl_peer_comparisonno sensitive capability
  • xbrl_presentation_treeno sensitive capability
  • xbrl_render_statementno sensitive capability
  • xbrl_run_formulano sensitive capability
  • xbrl_search_sec_conceptno sensitive capability
  • xbrl_search_textno sensitive capability
  • xbrl_segment_breakdownno sensitive capability
  • xbrl_smart_summaryno sensitive capability
  • xbrl_trend_analysisno sensitive capability
  • xbrl_validateno sensitive capability
  • xbrl_validate_extendedno sensitive capability

What this scan could not see

Versions 2

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
v2.1.1 latest A 96/100 1 1.13.0 2026-08-25
v2.1.0 A 96/100 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 · 96/100
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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 arelle-mcp --online --registry pypi

Use the free API → How scoring works

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