Official descriptionGibs MCP Server Regulatory compliance for AI-powered development tools** โ classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations.
Config template (adjust for your client)
claude mcp add gibs-mcp -- npx -y gibs-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
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7 โ ยท buildsyncinc/gibs-mcp ยท read from the repository page ยท (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list ยท type: MCP server
Harvest history
first seen 2026-10-09 ยท last seen 2026-10-16 ยท seen 32ร ยท listed by 7 sources
Score
score 703 ยท 7 โ ยท 7 sources ยท mcp
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repository buildsyncinc/gibs-mcp๏ผfirst catalogued 2026-10-09๏ผlast seen 2026-10-16ใThere is no official certification or quality rating here โ we record sources and dates only.
**Regulatory compliance for AI-powered development tools** โ classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations. Full Documentation ยท Get API Key ยท API Reference --- Overview Gibs MCP Server connects your AI development environment directly to a regulatory compliance knowledge base. Currently covering: | Regulation | Scope | Articles | |---|---|---| | **EU AI Act** | AI system classification, prohibited practices, obligations by risk level | 113 articles + 13 annexes | | **GDPR** | Data protection, processing obligations, data subject rights | 99 articles | | **DORA** | ICT risk management, incident reporting, third-party oversight for financial entities | 64 articles + 12 delegated/implementing acts | Every response includes **article-level citations** to binding legal text, with real-time corpus updates as regulations evolve. --- Quick Start 1. Get an API Key Sign up at gibs.dev and grab your API key from the dashboard. 2. Connect via Claude Desktop Add this to your Claude Desktop configuration file (claude_desktop_config.json): 3. Authenticate Pass your API key as the user_api_key parameter when calling any tool, or set it in your environment: --- Tools classify_ai_system Classify an AI system under AI Act risk levels (unacceptable, high-risk, limited, minimal) with full legal reasoning. | Parameter | Type | Required | Description | |---|---|---|---| | description | string | Yes | What the AI system does (10โ5000 chars) | | data_types | list[string] | No | Types of data processed (e.g., ["biometric", "personal"]) | | decision_scope | string | No | What decisions the system influences | | sector | string | No | Industry sector (e.g., "healthcare", "finance", "hr") | **Example prompt:** > Classify my facial recognition attendance system for schools **What you get back:** - Risk classification (e.g., **high-risk** under Annex III, point 1(a)) - Specific Article 6 analysis with Annex III cross-references - Applicable obligations based on classification - Relevant exemptions or exceptions, if any --- check_compliance Ask any regulatory compliance question and get a structured answer with article-level citations. | Parameter | Type | Required | Description | |---|---|---|---| | question | string | Yes | Compliance question (10โ2000 chars) | | system_description | string | No | Context about your AI system or organization | | regulation | string | No | Target regulation: "ai_act", "gdpr", "dora", or "both" (default: "both") | **Example prompts:** > What are the GDPR requirements for a data breach notification? Returns Article 33 (notification to supervisory authority) and Article 34 (communication to data subjects) obligations, including the 72-hour notification timeline, required content, and exceptions. > Does DORA apply to a fintech startup processing payments?