eu-ai-act-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| euaiact_classify_systemA | Classify an AI system's risk level under the EU AI Act (Regulation 2024/1689). Accepts a free-text description, a use_case, and/or structured signals (domain, biometric flags, synthetic content, etc.). Signals take precedence over text matching for deterministic classification. Returns risk classification, applicable Annex III category, relevant articles, provider/deployer determination, matched signals, and follow-up questions the agent should relay. Note: Art. 6(3) exceptions require documented justification and cannot be auto-applied; use euaiact_assess_art6_3_exception. |
| euaiact_check_deadlinesA | Returns key implementation milestones and deadlines for the EU AI Act with days remaining, a |
| euaiact_get_obligationsA | Returns specific compliance obligations for providers or deployers based on AI system risk level. |
| euaiact_answer_questionA | Search frequently asked questions about the EU AI Act and get best-match answers with article references. Covers classification, deadlines, roles, governance, documentation, risk assessment, penalties, GPAI systemic risk, FRIA, transparency, and sector-specific guidance. |
| euaiact_calculate_penaltyA | Calculates the maximum possible fine for an EU AI Act violation based on violation type, global annual turnover, and SME status. Implements the Art. 99 penalty framework including the SME/startup protection rule (Art. 99(6)). Returns a comparative block so the agent can show the SME reduction to the user. |
| euaiact_get_articleA | Retrieve an operational summary of a specific article of the EU AI Act (Regulation 2024/1689), plus a stable EUR-Lex URL to the canonical text. Supports a subset of the most-cited articles (Art. 3, 4, 5, 6, 9-17, 26, 27, 43, 47, 49, 50, 51, 53, 55, 72, 73, 99, 100, 113). For articles outside this subset the tool returns the EUR-Lex base URL. Use this tool to ground citations and quote article text with a link. |
| euaiact_check_gpai_systemic_riskA | Determine whether a general-purpose AI model qualifies as a GPAI model with systemic risk under Art. 51. A model is presumed to have high-impact capabilities when cumulative training compute exceeds 10^25 FLOPs (Art. 51(2)). The Commission may also designate models with equivalent capabilities or impact under Art. 51(1)(b). Returns baseline GPAI obligations under Art. 53 plus systemic-risk-only obligations under Art. 55, and the Art. 52 notification duty. |
| euaiact_assess_art6_3_exceptionA | Walk through the Art. 6(3) exception for Annex III high-risk AI systems. An Annex III system is NOT high-risk if it does not pose a significant risk to health, safety, or fundamental rights, AND falls under one of the four conditions: (a) narrow procedural task, (b) improves prior human activity, (c) detects patterns without replacing human assessment, (d) preparatory task. CRITICAL: The exception does NOT apply if the system performs profiling of natural persons (Art. 6(3) second subparagraph). Providers invoking the exception must document the assessment (Art. 6(4)) and still register in the EU database (Art. 49(2)). |
| euaiact_annex_iv_checklistA | Return the full Annex IV technical documentation requirements that a provider of a high-risk AI system must prepare under Art. 11 before placing the system on the market. Nine items cover: general description, detailed elements and development process, monitoring/functioning/control, performance metrics appropriateness, risk management system, lifecycle changes, harmonised standards applied, EU declaration of conformity, and post-market monitoring plan. Use |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| classify-my-system | Classify an AI system under the EU AI Act risk framework. Provide a description and the tool will determine if it's prohibited, high-risk, limited risk, or minimal risk. Provide structured signals (domain, uses_biometrics, etc.) for deterministic classification on canonical cases. |
| compliance-checklist | Generate a compliance checklist for an AI system based on its risk level and your role (provider or deployer). |
| penalty-risk-assessment | Calculate potential fines for EU AI Act non-compliance based on violation type and company size. |
| ground-citation | Ground a citation to a specific EU AI Act article by retrieving the article text and EUR-Lex URL. |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| EU AI Act Timeline | Key implementation milestones and deadlines of the EU AI Act (Regulation 2024/1689). |
| EU AI Act Risk Levels | Overview of the four AI Act risk categories: prohibited, high-risk, limited risk, and minimal risk. |
| EU AI Act Annex III — High-Risk Categories | Full Annex III high-risk AI system categories (1-8) with descriptions, examples, and relevant articles. Source: Regulation (EU) 2024/1689, Annex III (public domain). |
| EU AI Act Annex IV — Technical Documentation | Full Annex IV technical documentation requirements (items 1-9) that providers of high-risk AI systems must prepare under Art. 11. Public-domain EU text. |
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