Scans codebases for usage of Google's AI services and generates EU AI Act compliance reports.
Scans codebases for usage of LangChain and generates EU AI Act compliance reports.
Scans codebases for usage of OpenAI's AI services and generates EU AI Act compliance reports.
Scans codebases for usage of PyTorch and generates EU AI Act compliance reports.
Scans codebases for usage of TensorFlow and generates EU AI Act compliance reports.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@gridwork-aiact scan my current codebase for EU AI Act compliance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server that scans codebases for AI system usage and generates EU AI Act compliance reports.
EU AI Act high-risk deadline: August 2, 2026.
Scans project files for AI libraries, APIs, and frameworks
Detects 30+ AI systems: OpenAI, Anthropic, Google, PyTorch, TensorFlow, HuggingFace, LangChain, and more
Classifies risk level per EU AI Act (unacceptable / high / limited / minimal)
Identifies compliance gaps against Annex III categories
Generates formal inventory documents for compliance records
Counts days until the August 2, 2026 deadline
Related MCP server: EU AI Act Compliance MCP Server
npx gridwork-aiactTool | Description |
| Full scan with risk classification and compliance gap analysis |
| Fast count of AI systems without full analysis |
| Formal EU AI Act inventory document |
| Classify risk for a specific AI system by use case |
{
"mcpServers": {
"gridwork-aiact": {
"command": "npx",
"args": ["-y", "gridwork-aiact"]
}
}
}MIT — Gridwork
Classify the EU AI Act risk level for a specific AI system based on its type and use case. Helps determine which obligations apply.
Inputs: use_case (required), system_name (required), use_domain, processes_personal_data, +1 more.
Generate a formal EU AI Act inventory document for a project. Produces a structured inventory suitable for compliance records, covering all detected AI systems with risk classifications and documentation requirements.
Inputs: path (required), organization.
Quick scan to count AI systems in a project without full compliance analysis. Faster than scan_project.
Inputs: path (required).
Scan a project directory for AI system usage and generate an EU AI Act compliance report. Detects LLM APIs (OpenAI, Anthropic, Google, Mistral, etc.), ML frameworks (PyTorch, TensorFlow, scikit-learn), computer vision, NLP, embeddings, and more. Classifies risk level and identifies compliance gaps against the August 2, 2026 deadline.
Inputs: path (required), format.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 4 tools
Each tool has a clearly distinct purpose: quick_check is a fast scan, scan_project is a full scan with report generation, generate_inventory produces a formal document, and classify_system classifies risk level. No overlap.
All tool names follow a consistent verb_noun pattern (quick_check, scan_project, generate_inventory, classify_system). The convention is uniform and predictable.
4 tools is well-scoped for the domain of EU AI Act compliance. Each tool serves a distinct and necessary function without redundancy or excessive granularity.
The tool set covers the core compliance workflow: fast scan, full scan, inventory generation, and risk classification. Minor gaps exist, such as the absence of tools for updating or editing generated inventories, but the essential operations are present.
AI inventory and EU AI Act compliance. Find AI tools and use cases, check new AI uses before launch.
Security scanner for AI-written code: SAST, secrets, dependencies, IaC, containers and DAST.
EU AI Act + GDPR compliance scanner. One call, no arguments, 10 seconds. 22 AI frameworks detected.
EU AI Act and GDPR checks with sources: classify an AI system, trace each duty, find the supervisor.
