Edgar (henrysouchien) MCP Server

edgar-mcp PyPI v1.0.3

Published by henrysouchien — 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 SEC EDGAR financial data with a manifest-backed 29-tool surface

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 0

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

Tools 32

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

  • get_issuer_submissions_metaingests untrusted input
  • cite_conceptno sensitive capability
  • compare_conceptno sensitive capability
  • compare_filing_tablesno sensitive capability
  • concept_trendno sensitive capability
  • describe_filingno sensitive capability
  • extract_filing_fileno sensitive capability
  • get_conceptno sensitive capability
  • get_event_filingsno sensitive capability
  • get_extraction_seriesno sensitive capability
Show 22 more tools ↓
  • get_filing_cover_factsno sensitive capability
  • get_filing_documentno sensitive capability
  • get_filing_evidenceno sensitive capability
  • get_filing_extractionsno sensitive capability
  • get_filing_factsno sensitive capability
  • get_filing_sectionsno sensitive capability
  • get_filing_tablesno sensitive capability
  • get_filingsno sensitive capability
  • get_financialsno sensitive capability
  • get_metricno sensitive capability
  • get_metric_seriesno sensitive capability
  • get_operational_kpi_driver_rowsno sensitive capability
  • get_operational_kpi_driversno sensitive capability
  • get_statementno sensitive capability
  • list_extraction_schemasno sensitive capability
  • list_metricsno sensitive capability
  • search_extractionsno sensitive capability
  • search_filing_tablesno sensitive capability
  • search_filing_textno sensitive capability
  • search_metricsno sensitive capability
  • warm_metric_cacheno sensitive capability
  • warm_metric_cache_statusno sensitive capability

What this scan could not see

Versions 4

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
v1.0.3 latest A 96/100 0 1.13.0 2026-08-27
v1.0.2 A 96/100 0 1.13.0 2026-08-25
v1.0.1 A 96/100 0 1.12.1 2026-08-09
v1.0.0 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 · 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 edgar-mcp --online --registry pypi

Use the free API → How scoring works

Other implementations of Edgar 3

Independent packages implementing the same tool, scanned with the same engine. Compare all 4 side by side →

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