Regulationsgov MCP Server

regulationsgov-mcp PyPI v1.0.8

Published by 1102tools-dev — 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 Regulations.gov API. Federal rulemaking dockets, documents, comments, and comment period tracking.

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

Trust grade

96/100

Last scanned 2026-08-27 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.

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:

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 0

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

Tools 9

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

get_document_detailingests untrusted input
far_case_historyno sensitive capability
get_access_statusno sensitive capability
get_comment_detailno sensitive capability
get_docket_detailno sensitive capability
open_comment_periodsno sensitive capability
search_commentsno sensitive capability
search_docketsno sensitive capability
search_documentsno 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 8

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	Engine	Scanned
`v1.0.8` latest	A 96/100	1.13.0	2026-08-27
`v1.0.7`	A 96/100	1.13.0	2026-08-25
`v1.0.5`	A 96/100	1.12.1	2026-08-24
`v1.0.4`	A 96/100	1.12.1	2026-08-23
`v1.0.3`	A 96/100	1.12.1	2026-08-22

Show 3 more versions ↓

`v1.0.2`	A 96/100	1.12.1	2026-08-18
`v1.0.0`	A 96/100	1.12.1	2026-08-16
`v0.2.5`	A 96/100	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.

Markdown (GitHub README)

[![MCP Trust Score](https://mcptrustchecker.com/registry/regulationsgov-mcp/badge.svg)](https://mcptrustchecker.com/registry/regulationsgov-mcp)

HTML

<a href="https://mcptrustchecker.com/registry/regulationsgov-mcp"><img src="https://mcptrustchecker.com/registry/regulationsgov-mcp/badge.svg" alt="MCP Trust Score" height="20"></a>

Prefer shields.io styling? Point it at https://mcptrustchecker.com/registry/regulationsgov-mcp/badge.json via https://img.shields.io/endpoint?url=…

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 regulationsgov-mcp --online --registry pypi

Use the free API → How scoring works

More in Other

Adguard Home Source verified npm

@fcannizzaro/mcp-adguard-home

A Model Context Protocol server implementation for AdGuard Home that enables AI agents to query and manage DNS records, filtering rules and more

Other Score 100/100 0 findings 80/wk Cap. Minimal

Agentra Remote

https://api.agentrapay.ai/mcp

Identity oracle and trust layer for autonomous AI agents. Bidirectional KYA and trust scoring.

Other Score 100/100 0 findings Cap. Minimal

Airtable Source verified npm

@west10tech/airtable-mcp

MCP server with Airtable integration

Other Score 100/100 0 findings 14/wk Cap. Minimal

AIﾉアカリ☆ One-Minute Akari Remote

https://ai-akari.ai/mcp

A free one-minute reset for people, delivered by AI, with no account or personal data.

Other Score 100/100 0 findings Cap. Minimal

AlphaCreek MCP Remote

https://mcp.alphacreek.ai/mcp

Access SEC filings efficiently, save time and tokens, and get cited answers.

Other Score 100/100 0 findings Cap. Minimal

Ani Source verified npm

ani-mcp

A smart [MCP](https://modelcontextprotocol.io) server for [AniList](https://anilist.co) that gets your anime/manga taste - not just API calls.

Other Score 100/100 0 findings 141/wk Cap. Minimal