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EU AI Act Article 50 Watermark Attestation

CSOAI-ORG Scanned 19d ago

EU AI Act Article 50 watermarking + transparency compliance MCP. Built for the 2 November 20...

MCP Registry ↗
C
72.5 / 100

Versions

1.0.4latest
first seen Jun 5, 2026
1.3.2
first seen May 19, 2026
PermissionsTool SafetyAuthAnnotationsCode QualityStabilitySpecVuln HistoryAuthorTransparencyCommunity

Tools 9

get_deadline_status
annotations: none low

Return live status of the 2 Aug 2026 Article 50 deadline + which Article 50 obligations apply to whom.

api_key str
classify_obligations
annotations: none low

Given system characteristics, return the specific Article 50 obligations that apply + the disclosure templates needed.

api_key str is_chatbot bool is_gpai_provider bool generates_deepfakes bool generates_synthetic_text bool generates_synthetic_audio bool generates_synthetic_image bool generates_synthetic_video bool deploys_emotion_recognition bool deploys_biometric_categorisation bool publishes_ai_text_public_interest bool
generate_disclosure_text
annotations: none low

Generate compliant disclosure text for a specific Article 50 obligation. - obligation_key: one of the keys returned by classify_obligations - surface_type: ui | api | metadata | tts_audio | image_caption - language: en | de | fr | es | it

api_key str language str surface_type str obligation_key str
audit_content_pipeline
annotations: none low

Audit an existing content-generation pipeline for Article 50 compliance. Pass sample output text + comma-separated pipeline steps.

api_key str tenant_id str sample_text str pipeline_steps_csv str
sign_watermark_attestation
annotations: none low

Generate a HMAC-SHA256 signed attestation of Article 50 compliance for a given content pipeline. Pro/Enterprise required.

email str api_key str entity_name str findings_csv str audited_obligations_csv str pipeline_compliance_score float
c2pa_generate_manifest
annotations: none low

Generate a draft C2PA Content Credentials manifest (JSON-LD) for an AI-generated asset. Conforms to C2PA technical specification 2.1. Use this to draft a manifest that you then sign with a DigiCert C2PA cert (offline) and embed via c2patool. Asset types: image | video | audio | text. Args: asset_filename: e.g. "render-2026-04-27.png" asset_type: "image" | "video" | "audio" | "text" generative_model: e.g. "stable-diffusion-3.5" or "claude-3-5-sonnet" issuer_org: legal entity name signing the manifest timestamp_iso: optional, defaults to now UTC

api_key str asset_type str issuer_org str timestamp_iso str asset_filename str generative_model str
c2pa_validate_manifest
annotations: none low

Validate a C2PA manifest (JSON-LD) against required fields per the C2PA 2.1 specification. Returns a structured pass/fail with specific errors. Note: this is structural validation only. Cryptographic signature verification requires the binary asset + an installed c2patool. Use `c2patool verify <asset>` for full cryptographic verification.

api_key str manifest_json str
perceptual_fingerprint_compute
annotations: none low

Compute a perceptual fingerprint suitable for the EU AI Act Article 50 Code of Practice fallback ledger. Pass either base64-encoded bytes OR a pre-computed SHA-256 hex. Returns: cryptographic SHA-256 + perceptual hash placeholder + recommended storage schema for downstream re-identification (e.g. DMCA-style takedown). For production-grade pHash/dHash on images, also pip-install `imagehash` and pass results in. This MCP returns the schema even when only SHA-256 is available so the ledger remains queryable.

api_key str asset_type str sha256_hex str content_bytes_b64 str
synthid_check
annotations: none low

Check whether a SynthID-class detector output indicates an AI-generated asset. SynthID returns a confidence score 0.0-1.0; values >= 0.85 are typically considered detected. This MCP normalises detector output into a structured pass/fail with audit trail fields. Wrap your DeepMind SynthID detector / OpenAI text-watermark detector / Adobe-style detector output through this tool to feed downstream Article 50 pipelines. Args: detector_output_score: 0.0 - 1.0 confidence the asset has an embedded watermark asset_type: "image" | "video" | "audio" | "text" threshold: detection threshold (default 0.85)

api_key str threshold float asset_type str detector_output_score float

Permissions 3

network medium
Server uses network capabilities via: urllib
filesystem low
Server uses filesystem capabilities via: open(), os
env_vars low
Server uses env_vars capabilities via: os.environ

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