mcphealth is a mcp_server sourced from github, with a Nerq Trust Score of B (70/100) and a compliance score of 79/100 across 52 jurisdictions. It is classified as HIGH risk, with 15 high-risk classifications and 37 minimal-risk classifications. Assessed by Nerq, the world's largest AI agent trust database covering 5M+ AI assets across 52 global jurisdictions.
Last assessed: March 10, 2026 | Data from Nerq's weighted multi-jurisdiction compliance engineMCPHealth monitors MCP servers for real-time health and trust scores.
Each jurisdiction has unique AI regulation requirements. This table shows how mcphealth is classified under each jurisdiction's specific rules based on its type (mcp_server), domain (healthcare), and risk indicators.
| Jurisdiction | Risk Level | Compliance Notes | Effective Date | Max Penalty |
|---|---|---|---|---|
| California AI Training Data Transparency Act US |
MINIMAL RISK | Not a public-use generative AI system | 2026-01-01 | $5,000 per violation per day |
| California AI Transparency Act US |
MINIMAL RISK | Not subject to watermarking requirements | 2026-08-02 | $5,000 per violation |
| California Companion Chatbot Safety Act US |
MINIMAL RISK | Not a companion chatbot | 2026-01-01 | AG enforcement |
| California Frontier AI Act US |
MINIMAL RISK | Not a covered frontier model under SB 53 | 2026-01-01 | $10M to $50M per violation |
| Canada AIDA CA |
MINIMAL RISK | TBD | CAD $25M or 5% revenue | |
| Chile AI Regulation Bill CL |
MINIMAL RISK | TBD | TBD | |
| China AI Content Labeling Rules CN |
MINIMAL RISK | 2025-09-01 | CAC enforcement measures | |
| China Cybersecurity Amendment CN |
MINIMAL RISK | 2026-01-01 | ¥1M to ¥10M | |
| Colombia AI Ethics Framework CO |
MINIMAL RISK | 2024-01-01 | N/A (voluntary) | |
| Council of Europe AI Convention INTL |
MINIMAL RISK | 2025-09-01 | Treaty obligations (national enforcement) | |
| EU AI Act EU |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover |
| France AI Act Implementation FR |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Germany AI Act Implementation DE |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Illinois AI in Employment Act US |
MINIMAL RISK | Not an employment AI tool | 2026-01-01 | Human Rights Act penalties |
| Illinois AI Video Interview Act US |
MINIMAL RISK | Not an employment AI tool | 2020-01-01 | $5,000 per violation |
| India IT Rules (AI Amendments 2026) IN |
MINIMAL RISK | 2026-02-20 | Loss of safe harbor protection | |
| Ireland AI Act Implementation IE |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| ISO/IEC 42001 AI Management System INTL |
MINIMAL RISK | ISO/IEC 42001 certification available for AI management systems | 2023-12-18 | N/A (certification standard) |
| Italy AI Act Implementation IT |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Japan AI Bill JP |
MINIMAL RISK | 2025-05-01 | Administrative guidance | |
| Maryland AI in Employment & Housing Act US |
MINIMAL RISK | 2025-10-01 | Civil rights enforcement | |
| Mexico AI Regulation Initiative MX |
MINIMAL RISK | TBD | TBD | |
| Netherlands AI Act Implementation NL |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| New York RAISE Act US |
MINIMAL RISK | Not a covered frontier model | 2027-01-01 | $25M per violation |
| New Zealand Algorithm Charter NZ |
MINIMAL RISK | 2020-07-01 | N/A (voluntary charter) | |
| NYC Local Law 144 (AEDT) US |
MINIMAL RISK | Not an automated employment decision tool | 2023-07-05 | $1,500 per violation |
| OECD AI Principles INTL |
MINIMAL RISK | 2024-05-02 | N/A (voluntary principles) | |
| Peru AI Promotion Law PE |
MINIMAL RISK | 2023-07-01 | Administrative guidance | |
| Poland AI Act Implementation PL |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Spain AI Act Implementation ES |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Sweden AI Act Implementation SE |
MINIMAL RISK | Minimal risk: voluntary codes of practice encouraged | 2026-08-02 | €35M or 7% global turnover (EU AI Act) |
| Taiwan AI Basic Act TW |
MINIMAL RISK | 2025-07-23 | Administrative guidance | |
| TAKE IT DOWN Act (Federal) US |
MINIMAL RISK | 2026-05-19 | 3 years imprisonment | |
| Texas RAIGA US |
MINIMAL RISK | Not a restricted-purpose AI system under TRAIGA | 2026-01-01 | Administrative remedies |
| Thailand AI Governance Guidelines TH |
MINIMAL RISK | 2024-01-01 | N/A (voluntary) | |
| Utah AI Amendments US |
MINIMAL RISK | 2025-05-07 | Professional licensing penalties | |
| Utah AI Policy Act US |
MINIMAL RISK | 2024-05-01 | UDCP enforcement | |
| Australia Mandatory AI Guardrails AU |
HIGH RISK | Mandatory guardrails: transparency, testing, human oversight required (proposed) | 2026-TBD | TBD (legislation pending) |
| Brazil AI Bill BR |
HIGH RISK | High-risk: impact assessment, strict liability (proposed) | TBD | R$ 50M or 2% revenue |
| Colorado AI Act US |
HIGH RISK | High-risk: consequential decision tool. Requires impact assessment, consumer notification, annual bias audit. | 2026-06-30 | $500,000 per violation |
| Connecticut AI / Automated Decision Act US |
HIGH RISK | Automated decision system: impact assessment, opt-out rights, human review required | 2026-07-01 | AG enforcement under CTDPA |
| India AI Governance Guidelines IN |
HIGH RISK | Sensitive sector: AI Safety Board pilot compliance recommended | 2025-12-01 | Voluntary (binding rules expected mid-2026) |
| Kenya Data Protection (AI Provisions) KE |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2021-11-25 | KES 5M or 1% annual turnover |
| Nigeria Data Protection (AI Provisions) NG |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2023-06-14 | NGN 10M or 2% annual turnover |
| Philippines AI Development Act PH |
HIGH RISK | Critical sector AI: development standards apply (proposed) | TBD | TBD |
| Saudi Arabia AI Ethics Principles SA |
HIGH RISK | SDAIA ethical principles: transparency and Vision 2030 alignment required | 2023-09-01 | SDAIA enforcement |
| Singapore AI Framework SG |
HIGH RISK | High-impact: voluntary governance framework recommends full compliance | TBD | N/A (voluntary) |
| South Africa POPIA (AI Provisions) ZA |
HIGH RISK | Automated decision-making: data protection impact assessment required, right to object | 2021-07-01 | ZAR 10M or imprisonment |
| South Korea AI Basic Act KR |
HIGH RISK | High-impact AI: risk assessment, human oversight, transparency required | 2026-01-22 | ₩300M or 3% revenue |
| UAE AI Strategy 2031 AE |
HIGH RISK | Requires AI licensing through DIFC/ADGM for commercial deployment | 2024-01-01 | Licensing revocation + fines |
| UK AI Regulation Bill UK |
HIGH RISK | Sector-specific regulation: oversight by relevant sector regulator | TBD | TBD by sector regulators |
| Vietnam AI Law VN |
HIGH RISK | Sensitive sector: risk assessment, human oversight, data protection required | 2026-TBD | VND 2B |
ZARQ provides independent crypto risk intelligence for 205 digital assets — trust ratings, distance-to-default scoring, and structural collapse detection.
Show your AI agent's compliance status with an embeddable badge:
Markdown:
[](https://nerq.ai/agent/d3cfd26f-6e6a-4350-8f76-b0e5b12a1137)
HTML:
<a href="https://nerq.ai/agent/d3cfd26f-6e6a-4350-8f76-b0e5b12a1137"><img src="https://nerq.ai/compliance/badge/d3cfd26f-6e6a-4350-8f76-b0e5b12a1137.svg" alt="Nerq Compliance Status"></a>
mcphealth is a mcp_server sourced from github, authored by EsbenHerman. It operates in the healthcare domain. Across global AI regulations, it is classified as high risk. Nerq has assessed this agent against 52 global AI regulations, finding it to be high risk or restricted in 15 jurisdictions, subject to transparency or limited requirements in 0 jurisdictions, and minimal risk or compliant in 37 jurisdictions.
This assessment was generated using Nerq's rule-based multi-jurisdiction compliance engine, which maps AI system characteristics against the specific criteria defined in each jurisdiction's AI regulation framework. The assessment covers enacted laws, proposed legislation, and voluntary frameworks across the EU, United States, United Kingdom, Asia-Pacific, Middle East, Africa, and Latin America. First indexed on Nerq: February 12, 2026.