About aiact
aiact is an MCP server that scans codebases for AI systems and produces EU AI Act compliance reports. It helps teams inventory AI usage, assess risk categories, and identify compliance gaps.
Key features
- 01Scan code for AI systems
- 02Classify EU AI Act risk
- 03Find Annex III compliance gaps
- 04Generate formal inventories
- 05Quickly count detected systems
Use cases
- 01Inventory AI use in a codebase
- 02Review risk levels for AI systems
- 03Prepare compliance records
- 04Check Annex III coverage
MCP support
The MCP server exposes tools to scan projects, check AI system counts, generate inventories, and classify individual systems by use case.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
4Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| path | string | Yes | Absolute path to the project directory to scan |
| format | enum | No | Output formatmarkdown | json |
Details
From the project READMEgridwork-aiact
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.
What it does
- 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
Install
npx gridwork-aiact
MCP tools
| Tool | Description |
|---|---|
scan_project | Full scan with risk classification and compliance gap analysis |
quick_check | Fast count of AI systems without full analysis |
generate_inventory | Formal EU AI Act inventory document |
classify_system | Classify risk for a specific AI system by use case |
Claude Desktop config
{
"mcpServers": {
"gridwork-aiact": {
"command": "npx",
"args": ["-y", "gridwork-aiact"]
}
}
}
License
MIT — Gridwork
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.