_ registry / mcp streamable-http · checked 1h ago

eu-ai-act-explorer

https://mcp.euaiactlaw.com

Registry code: 159f98e7cdb4ba97

api record

Read-only EU AI Act reference. Every answer cites the Official Journal source and is not legal advice.

endpoint
https://mcp.euaiactlaw.com/mcp
protocol
streamable-http ·2025-03-26
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is eu-ai-act-explorer live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is eu-ai-act-explorer free to use?
Yes — the hub reached it with no key and no payment.
What tools does eu-ai-act-explorer have?
9 tools: get_annex, get_article, get_recital, get_definition, search_text, get_obligations, send_feedback, assess_compliance, ….
Is eu-ai-act-explorer safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
114ms

last good check

priced tools
0

of 9 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 9 tools
1 open 8 never probed 1 of 9 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • get_deadlines open 1h ago

    Show which EU AI Act obligations and phases are in force or pending as of a given date.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "date": {
      "type": "string",
      "description": "ISO date, e.g. \"2027-06-01\". Defaults to today."
    }
  }
}
    arguments 9 lines
  • get_annex unknown 1h ago

    Get the full text of one annex of the EU AI Act (roman numeral).

    mcp-tool

    {
  "type": "object",
  "required": [
    "number"
  ],
  "properties": {
    "number": {
      "type": "string",
      "description": "Annex number as roman numeral, e.g. \"III\", \"XIV\""
    }
  }
}
    arguments 12 lines
  • get_article unknown never probed

    Get the full amended text of one article of the EU AI Act, including lettered numbers such as "60a".

    mcp-tool

    {
  "type": "object",
  "required": [
    "number"
  ],
  "properties": {
    "number": {
      "type": "string",
      "description": "Article number, e.g. \"6\", \"25\", \"60a\""
    }
  }
}
    arguments 12 lines
  • get_recital unknown never probed

    Get the full text of one recital of the EU AI Act.

    mcp-tool

    {
  "type": "object",
  "required": [
    "number"
  ],
  "properties": {
    "number": {
      "type": "integer",
      "description": "Recital number"
    }
  }
}
    arguments 12 lines
  • get_definition unknown never probed

    Get the Article 3 definition of a term used in the EU AI Act.

    mcp-tool

    {
  "type": "object",
  "required": [
    "term"
  ],
  "properties": {
    "term": {
      "type": "string",
      "description": "The defined term, e.g. \"provider\", \"high-risk AI system\""
    }
  }
}
    arguments 12 lines
  • search_text unknown never probed

    Full-text search over articles, recitals and annexes of the EU AI Act. Returns ranked matches with snippets.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "description": "Max results to return (default 5, hard cap 25)"
    },
    "query": {
      "type": "string"
    },
    "scope": {
      "enum": [
        "articles",
        "recitals",
        "annexes",
        "all"
      ],
      "type": "string",
      "description": "Defaults to all"
    }
  }
}
    arguments 25 lines
  • get_obligations unknown never probed

    List the obligations for a role under the EU AI Act, optionally filtered by risk tier.

    mcp-tool

    {
  "type": "object",
  "required": [
    "role"
  ],
  "properties": {
    "role": {
      "enum": [
        "provider",
        "deployer",
        "importer",
        "distributor",
        "notified_body",
        "authority"
      ],
      "type": "string"
    },
    "limit": {
      "type": "integer",
      "description": "Max obligations to return (default all, hard cap 25 per call)"
    },
    "fields": {
      "enum": [
        "full",
        "compact"
      ],
      "type": "string",
      "description": "compact omits provision_text"
    },
    "offset": {
      "type": "integer",
      "description": "Skip this many obligations (for paging)"
    },
    "risk_tier": {
      "enum": [
        "unacceptable",
        "prohibited",
        "high",
        "high-risk",
        "high_risk",
        "transparency",
        "limited",
        "minimal",
        "all"
      ],
      "type": "string",
      "description": "Filter by risk tier; \"all\" = no filter. Synonyms accepted."
    }
  }
}
    arguments 50 lines
  • send_feedback unknown never probed

    Report a problem or a gap in this server's data (a wrong text, a missing amendment, a broken answer). One-way: no reply is sent.

    mcp-tool

    {
  "type": "object",
  "required": [
    "category",
    "message"
  ],
  "properties": {
    "tool": {
      "type": "string",
      "description": "Optional: which tool the feedback is about"
    },
    "client": {
      "type": "string",
      "description": "Optional: self-declared client name"
    },
    "message": {
      "type": "string",
      "description": "What is wrong or missing. Max 1,000 characters."
    },
    "category": {
      "enum": [
        "error",
        "content_gap",
        "other"
      ],
      "type": "string",
      "description": "error = something factually wrong; content_gap = correct request for missing material; other"
    }
  }
}
    arguments 30 lines
  • assess_compliance unknown 1h ago

    Run the EU AI Act compliance assessment: given the entity's answers (same decision tree as the interactive checker on euaiactlaw.com), returns the applicable roles, risk classification, full obligation list with legal basis and deadlines, and notes (e.g. Annex I Section B reduced regime, open-source GPAI exception, Art 27(3) NCA notification, distributor obligations under Art 24). Pass answers keyed by step id (E1, E2, S1, R1-R5, HR1-HR6, ...); E1 (roles) is required. Multi-select steps take arrays of option ids; single-choice steps take one option id.

    mcp-tool

    {
  "type": "object",
  "required": [
    "E1"
  ],
  "properties": {
    "E1": {
      "type": "array",
      "items": {
        "enum": [
          "provider",
          "deployer",
          "distributor",
          "importer",
          "product_manufacturer",
          "auth_rep"
        ],
        "type": "string"
      },
      "description": "What is your role in relation to the AI system? Options: provider = Provider; deployer = Deployer; distributor = Distributor; importer = Importer; product_manufacturer = Product Manufacturer; auth_rep = Authorised Representative. Omit keys that do not apply to your scenario."
    },
    "E2": {
      "type": "array",
      "items": {
        "enum": [
          "rename",
          "repurpose",
          "substantial_mod",
          "none"
        ],
        "type": "string"
      },
      "description": "Do you or any downstream entity make any of these modifications? Options: rename = Putting a different name or trademark on the system; repurpose = Modifying the intended purpose of a system already in operation; substantial_mod = Performing a substantial modification (Article 3(23)) to the system; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "E3": {
      "type": "array",
      "items": {
        "enum": [
          "ai_with_product",
          "ai_after_product",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your product integrate an AI system and meet either criterion? Options: ai_with_product = AI system placed on the market together with the product under manufacturer name/trademark; ai_after_product = AI system put into service under manufacturer name/trademark after product placed on market; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "R1": {
      "type": "array",
      "items": {
        "enum": [
          "high_flops",
          "commission_decision",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your AI model meet any systemic risk criteria? (GPAI only) Options: high_flops = High impact capabilities (trained with cumulative compute >10²⁵ FLOPs); commission_decision = Commission has decided the model has high capabilities or impact (Annex XIII criteria); none = None of the above (or this is not a GPAI model). Omit keys that do not apply to your scenario."
    },
    "R2": {
      "type": "array",
      "items": {
        "enum": [
          "military",
          "third_country_law",
          "research",
          "open_source",
          "personal_use",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your system or use-case fall within any exclusion category? Options: military = AI systems developed and used exclusively for military purposes; third_country_law = Public authorities / international organisations in third countries using AI for law enforcement or judicial cooperation; research = AI research and development activity (not yet placed on market); open_source = AI components provided under free and open-source licences; personal_use = Purely personal, non-professional activity by a natural person; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "R3": {
      "type": "array",
      "items": {
        "enum": [
          "subliminal",
          "vulnerable_exploit",
          "biometric_categorisation_prohibited",
          "social_scoring",
          "predictive_policing",
          "facial_scraping",
          "emotion_recognition_prohibited",
          "realtime_rbi",
          "nonconsensual_intimate",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your system perform any prohibited AI practices? Options: subliminal = Subliminal techniques, manipulation, or deception; vulnerable_exploit = Exploiting vulnerabilities of specific groups; biometric_categorisation_prohibited = Biometric categorisation to infer sensitive attributes; social_scoring = Social scoring — evaluating or classifying persons based on social behaviour; predictive_policing = Predictive policing based solely on profiling or personality traits; facial_scraping = Untargeted scraping of facial images from internet/CCTV to expand databases; emotion_recognition_prohibited = Emotion recognition in workplace or educational institutions; realtime_rbi = Real-time remote biometric identification in publicly accessible spaces for law enforcement; nonconsensual_intimate = Generating or manipulating non-consensual intimate material or child sexual abuse material; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "R4": {
      "type": "array",
      "items": {
        "enum": [
          "deepfake",
          "public_interest_text",
          "emotion_biometric",
          "natural_persons",
          "synthetic_content",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your system perform any transparency-triggering functions? Options: deepfake = Generating or manipulating image/audio/video constituting a deep fake; public_interest_text = Generating or manipulating text published for matters of public interest (e.g., news); emotion_biometric = Emotion recognition or biometric categorisation (non-prohibited); natural_persons = Interacting directly with natural persons (e.g., chatbot); synthetic_content = Generating synthetic audio, image, video, or text content; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "R5": {
      "enum": [
        "yes",
        "no"
      ],
      "type": "string",
      "description": "Are you a body governed by public law, or a private entity providing public services, or operating in insurance/banking? Options: yes = Yes — public law body, public service provider, or insurance/banking entity; no = No — private entity not providing public services and not in insurance/banking. Omit keys that do not apply to your scenario."
    },
    "S1": {
      "type": "array",
      "items": {
        "enum": [
          "placing_eu",
          "gpai_eu",
          "established_eu",
          "importer_eu",
          "distributor_eu",
          "output_eu",
          "none"
        ],
        "type": "string"
      },
      "description": "Do you meet any of the following criteria for EU AI Act applicability? Options: placing_eu = I am placing on the market or putting into service AI systems in the EU; gpai_eu = I am placing on the market General Purpose AI (GPAI) models in the EU; established_eu = I am established or located within the EU; importer_eu = I am an importer placing on the EU market a system bearing a non-EU entity name; distributor_eu = I am a distributor making an AI system available on the EU market; output_eu = My AI system's output is used in the EU; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "HR1": {
      "type": "array",
      "items": {
        "enum": [
          "aviation_security",
          "motor_type_approval",
          "machinery",
          "vehicles_two_three",
          "agri_vehicles",
          "marine",
          "rail",
          "motor_vehicles",
          "civil_aviation",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your AI system fall within any Annex I, Section B categories? Options: aviation_security = Civil aviation security; motor_type_approval = Motor vehicles type approval; machinery = Machinery; vehicles_two_three = Two/three-wheel vehicles and quadricycles; agri_vehicles = Agricultural and forestry vehicles; marine = Marine equipment; rail = Interoperability of rail systems; motor_vehicles = Motor vehicles and their trailers; civil_aviation = Civil aviation; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "HR2": {
      "type": "array",
      "items": {
        "enum": [
          "toys",
          "recreational",
          "lifts",
          "atex",
          "radio",
          "pressure",
          "cableway",
          "ppe",
          "gas",
          "medical",
          "ivd",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your AI system fall within any Annex I, Section A categories? Options: toys = Toys; recreational = Recreational craft & personal watercraft; lifts = Lifts and safety components of lifts; atex = Equipment for potentially explosive atmospheres; radio = Radio equipment; pressure = Pressure equipment; cableway = Cableway installations; ppe = Personal protective equipment; gas = Appliances burning gaseous fuels; medical = Medical devices; ivd = In vitro diagnostic medical devices; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "HR3": {
      "enum": [
        "yes",
        "no"
      ],
      "type": "string",
      "description": "Is your product required to undergo third-party conformity assessment under the applicable EU laws? Options: yes = Yes — third-party conformity assessment is required; no = No — manufacturer self-declaration or no third-party assessment required. Omit keys that do not apply to your scenario."
    },
    "HR4": {
      "type": "array",
      "items": {
        "enum": [
          "biometrics",
          "critical_infra",
          "education",
          "employment",
          "essential_services",
          "law_enforcement",
          "migration",
          "justice",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your AI system fall within any Annex III high-risk categories? Options: biometrics = Biometrics; critical_infra = Critical infrastructure; education = Educational and vocational training; employment = Employment, workers management, self-employment access; essential_services = Access to essential private/public services and benefits; law_enforcement = Law enforcement; migration = Migration, asylum, border control; justice = Administration of justice and democratic processes; none = None of the above. Omit keys that do not apply to your scenario."
    },
    "HR5": {
      "enum": [
        "yes",
        "no"
      ],
      "type": "string",
      "description": "Does your AI system pose a significant risk of harm to health, safety, or fundamental rights? Options: yes = Yes — poses significant risk (or system performs profiling of natural persons); no = No — meets one of the Art 6(3) derogation conditions. Omit keys that do not apply to your scenario."
    },
    "HR6": {
      "type": "array",
      "items": {
        "enum": [
          "toys",
          "recreational",
          "lifts",
          "atex",
          "radio",
          "pressure",
          "cableway",
          "ppe",
          "gas",
          "medical",
          "ivd",
          "none"
        ],
        "type": "string"
      },
      "description": "Does your product include an AI system as a \"safety component\" AND fall within Annex I, Section A categories? Options: toys = Toys; recreational = Recreational craft & personal watercraft; lifts = Lifts and safety components of lifts; atex = Equipment for potentially explosive atmospheres; radio = Radio equipment; pressure = Pressure equipment; cableway = Cableway installations; ppe = Personal protective equipment; gas = Appliances burning gaseous fuels; medical = Medical devices; ivd = In vitro diagnostic medical devices; none = None of the above. Omit keys that do not apply to your scenario."
    }
  }
}
    arguments 228 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 159f98e7cdb4ba97.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/159f98e7cdb4ba97/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/159f98e7cdb4ba97/badge.svg)](https://brick.blue/agent/159f98e7cdb4ba97?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
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reviews
paid reviews
0
positive
0
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score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.