ai-act-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AI_ACT_SLM_MODEL | No | Model name for local Ollama classification. | llama3.2 |
| AI_ACT_CLASSIFIER | No | Backend for classification: keyword (default, deterministic, offline), local (Ollama, fully offline), or host (via MCP sampling). | keyword |
| AI_ACT_OLLAMA_URL | No | URL of the Ollama server for local classification. | http://localhost:11434 |
| AI_ACT_SLM_TIMEOUT_MS | No | Timeout in milliseconds for local model before falling back to keyword classifier. | 30000 |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| classify_riskA | Classify an AI system under the EU AI Act risk tiers (prohibited / high / limited / minimal) from a plain-English description of what it does and who it affects. Returns the likely tier with cited articles and Annex III categories. Informational triage, not legal advice. |
| check_obligationsA | List the concrete EU AI Act obligations for a given risk tier and role (provider or deployer), with article citations. Set is_gpai true if you also provide a general-purpose AI model. |
| next_deadlinesA | Return the EU AI Act compliance timeline, optionally highlighting the date relevant to a given risk tier. |
| scan_repoA | Scan a local repository path for the documentation artifacts the AI Act expects (model card, data governance, risk management, logging, human oversight, transparency notices) and report pass/warn/fail per artifact. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: classifying risk, listing obligations, providing deadlines, and scanning documentation. There is no overlap or ambiguity between them.
All tool names follow a consistent verb_noun pattern (check_obligations, classify_risk, next_deadlines, scan_repo), making them predictable and easy to understand.
Four tools are well-suited for the domain of EU AI Act compliance, covering classification, obligations, deadlines, and documentation scanning without being too few or too many.
The tool surface covers the core lifecycle: understanding risk tier, knowing obligations, checking deadlines, and verifying documentation readiness. No obvious gaps for the stated purpose.