ai-governance-controls
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ai_safety_screenA | Screen an AI system's configuration for safety risks (SAF-001). Evaluates a system prompt against the SAF-002 output validation control. Returns a structured analysis framework for the host to complete. Args: system_prompt: The system prompt or configuration to screen. context: Optional deployment context (e.g. "customer-facing chatbot for a bank"). |
| ai_risk_classifyA | Classify an AI deployment's risk tier and applicable regulations (HOC-001). Evaluates a deployment description against the HOC-001 risk classification control, referencing EU AI Act risk tiers and NIST AI RMF. Returns a structured analysis framework for the host to complete. Args: deployment_description: Description of the AI system and how it is deployed. Include: what the system does, who uses it, what decisions it influences, what data it processes, and any human oversight in place. |
| ai_red_teamA | Generate adversarial test cases for an AI system prompt (SEC-005). Produces a red team runbook: specific adversarial inputs tailored to the system prompt, organized by attack category. Returns a structured framework for the host to generate the test cases. Args: system_prompt: The system prompt to red team. num_test_cases: Number of test cases to generate (default 10, max 30). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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