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GDPR Compliance AI MCP

Gdpr Compliance Ai MCP Server by MEOK AI Labs

Connector by CSOAI-ORG · GitHub account verified by the MCP Registry

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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/csoai-org-gdpr-compliance-ai-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Gdpr Compliance Ai MCP Server by MEOK AI Labs

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
1 read · 0 write · 0 delete · 5 not yet classified
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 6

Read from the source code; the running server may list different tools.

Read 1 · Look things up without changing anything.

  • classify_processing

Not yet classified 5 · We could not tell from the name and description.

  • breach_notification
  • crosswalk_to_eu_ai_act
  • dpia_generator
  • lawful_basis_assessment
  • rights_request_handler

Tools (6)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • breach_notification

    Assess breach severity and notification requirements under GDPR Articles 33-34 (72-hour rule). Determines whether supervisory authority and data subject notification is required, and generates the notification content. Args: breach_description: Description of the personal data breach data_categories_affected: Types of personal data affected number_of_records: Approximate number of records/individuals affected breach_type: Type of breach: "confidentiality" (unauthorized access), "integrity" (unauthorized alteration), "availability" (unauthorized loss of access) detection_ti…

  • classify_processing

    Classify data processing activities per GDPR articles. Determines which GDPR articles apply, whether a DPIA is required, special category processing status, and automated decision-making obligations. Args: processing_description: Description of the data processing activity data_categories: Types of personal data processed (e.g. ["name", "email", "biometric", "health"]) data_subjects: Categories of data subjects (e.g. ["employees", "customers", "children"]) processing_purposes: Purposes of processing (e.g. ["fraud detection", "personalization"]) automated_decision_making: W…

  • crosswalk_to_eu_ai_act

    Map GDPR requirements to EU AI Act obligations. Shows where GDPR compliance satisfies, complements, or creates tension with EU AI Act requirements. Essential for organizations deploying AI in the EU that must comply with both regulations simultaneously. Args: gdpr_articles: Specific GDPR articles to map (or all if omitted) focus_area: Focus on "all", "transparency", "automated_decisions", "data_governance", or "risk" caller: Caller identifier for rate limiting tier: Access tier (free/pro) Behavior: This tool generates structured output without modifying external systems. …

  • dpia_generator

    Generate a Data Protection Impact Assessment per GDPR Article 35. Produces a structured DPIA with necessity assessment, risk evaluation, and mitigation measures. Required before high-risk AI processing begins. Args: system_name: Name of the AI system or processing operation system_description: Detailed description of the system and its processing processing_purposes: Specific purposes of the processing data_categories: Types of personal data processed data_subjects: Categories of data subjects data_volume: Approximate volume (e.g., "10,000 records", "1M users") ret…

  • lawful_basis_assessment

    Determine the appropriate lawful basis for processing under GDPR Article 6. Evaluates all 6 lawful bases with AI-specific considerations and recommends the most appropriate basis with supporting rationale. Args: processing_purpose: The specific purpose of data processing data_categories: Types of personal data involved controller_type: "private" (company), "public" (government/public body) relationship_with_data_subject: Nature of relationship (customer/employee/patient/citizen/visitor) ai_processing: Whether an AI/ML system is used in processing caller: Caller identif…

  • rights_request_handler

    Handle data subject rights requests under GDPR Articles 15-22. Provides step-by-step guidance for responding to access, rectification, erasure, restriction, portability, objection, and automated decision-making requests with AI-specific considerations. Args: right_invoked: Which right is being exercised: "access", "rectification", "erasure", "restriction", "portability", "objection", "automated_decision" data_subject_description: Description of the requesting data subject processing_context: Context of the data processing involved ai_system_involved: Whether an AI system proce…

Signals

Stars
0
Forks
0
Open issues
10
Weekly downloads
94
Last commit
Oct 8, 2026 (29 days ago)
Last release
Aug 19, 2026 (2 months ago)
Last package publish
Sep 13, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.CSOAI-ORG/gdpr-compliance-ai-mcp
Version
1.1.14
Auth
No auth
License
MIT
First seen
Oct 24, 2026
Last checked
Nov 1, 2026

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GDPR Compliance AI MCP. Agent Mart. https://agentmart.dev/connectors/csoai-org-gdpr-compliance-ai-mcp (last updated 2026-11-01)