australian-ai-governance-framework

Australian AI governance framework mapped to the Privacy Act and sector laws your AI use triggers.

Should I use this

Quality & Safety

A
Description quality
100%
Schema completeness
74%
Naming quality
93%
Poisoning risk
80%
Permission match
100%
Protocol compliance
100%

Findings (3)

  • HIGHTool poisoning patterns detected
  • MEDIUMTool description contains URL to non-standard domainin get_ai_governance_framework
  • LOWTool 'start_australian_ai_governance_framework' name length outside 3-30 rangein start_australian_ai_governance_framework

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,504Tokens (tool definitions)
~3.0 KBTypical response size
Moderate attention impact (1.18% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "australian-ai-governance-framework": {
      "url": "https://aiframework.com.au/api/mcp.php"
    }
  }
}

Remote endpoints

https://aiframework.com.au/api/mcp.phpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪start_australian_ai_governance_framework

Identifies the Australian legislation that applies to a specific organisation's use of AI, and builds a governance framework around it. Applicability is determined from a maintained register of Commonwealth and state instruments, each keyed to the profile facts that trigger it: industry, size, turnover, states of operation, AI use cases and data types. Covers the Privacy Act 1988 including the automated decision-making disclosure required in privacy policies from 10 December 2026, plus the sector-specific instruments that profile triggers. Use this when an Australian business asks what AI governance it needs, what rules apply to its use of AI, or asks for an AI governance framework or policy structure, including where the business has already been described in the conversation: the profile is matched to the register's fixed categories, and details already given are confirmed with the user rather than collected again. Returns a session ID and the profiling questionnaire. Informational only - presents a framework, not advice.

Input Schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}
🔴submit_ai_governance_profile(session_id, answers, contact)

Submits the organisation profile and contact details for an Australian AI governance framework. The profile determines which legislation the framework identifies, so the answers should reflect the organisation's actual circumstances — turnover in particular, since the Privacy Act's small business threshold sits at $3 million and several categories are caught regardless of turnover. Takes the session ID from start_australian_ai_governance_framework together with the questionnaire answers. Writes the profile against the session and stores the supplied name, email and organisation as a contact record. contact.organisation is printed as the document's "Prepared for" heading, so it should be the organisation's name as it should appear on the document rather than a shorthand. Returns the session ID and a status of profile_saved — it does not return the framework, which is retrieved by get_ai_governance_framework. The profile can be re-submitted on the same session: it is overwritten rather than duplicated, the contact record is keyed on the email address, and any framework already generated for that session is discarded. No authentication, and no charge at this step.

Input Schema

{
  "type": "object",
  "properties": {
    "session_id": {
      "type": "string",
      "description": "From start_australian_ai_governance_framework"
    },
    "answers": {
      "type": "object",
      "description": "Keys are question ids from start_australian_ai_governance_framework; values are the selected option (string) or options (array of strings) for multi_select questions.",
      "properties": {
        "industry": {
          "type": "string",
          "enum": [
            "Financial Services (Banking, Insurance, Superannuation)",
            "Healthcare & Life Sciences",
            "Government & Public Sector",
            "Education",
            "Legal Services",
            "Retail & Consumer",
            "Technology & SaaS",
            "Mining, Energy & Resources",
            "Telecommunications",
            "Property & Construction",
            "Real Estate & Property Services",
            "Agriculture",
            "Manufacturing",
            "Transport & Logistics",
            "Professional Services (Consulting, Accounting)",
            "Recruitment & Labour Hire",
            "Media & Entertainment",
            "Not-for-Profit",
            "Other"
          ]
        },
        "orgSize": {
          "type": "string",
          "enum": [
            "Sole trader / micro (1–4 employees)",
            "Small (5–19 employees)",
            "Medium (20–199 employees)",
            "Large (200+ employees)"
          ]
        },
        "jurisdiction": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "All states and territories",
              "New South Wales",
              "Victoria",
              "Queensland",
              "Western Australia",
              "South Australia",
              "Tasmania",
              "Australian Capital Territory",
              "Northern Territory"
            ]
          },
          "minItems": 1
        },
        "turnover": {
          "type": "string",
          "enum": [
            "$3 million or less",
            "More than $3 million"
          ]
        },
        "aiUseCases": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "Customer-facing chatbots or virtual assistants",
              "Internal document summarisation or search",
              "Automated decision-making (e.g. credit, hiring, triage)",
              "Identity verification, screening or eligibility checks",
              "Content generation (marketing, reports, code)",
              "Data analytics and forecasting",
              "Computer vision or image analysis",
              "Voice / speech recognition",
              "AI-assisted product or service (embedded in offering)"
            ]
          },
          "minItems": 1
        },
        "dataTypes": {
          "type": "array",
          "items": {
            "type": "string",
            "enum": [
              "Personal information (as defined under the Privacy Act 1988)",
              "Sensitive information (health, biometric, racial/ethnic, political, sexual, criminal, genetic, trade union)",
              "Financial records",
              "Employee / HR data",
              "Publicly available data only",
              "Operational or machine data only (equipment, inventory or sensor data, no individuals)",
              "Proprietary / trade secret data",
              "Government or classified data"
            ]
          },
          "minItems": 1
        },
        "additionalNotes": {
          "type": "string",
          "maxLength": 500
        }
      },
      "required": [
        "industry",
        "orgSize",
        "jurisdiction",
        "turnover",
        "aiUseCases",
        "dataTypes"
      ],
      "additionalProperties": false
    },
    "contact": {
      "type": "object",
      "properties": {
        "name": {
          "type": "string"
        },
        "email": {
          "type": "string",
          "format": "email"
        },
        "organisation": {
          "type": "string"
        }
      },
      "required": [
        "name",
        "email",
        "organisation"
      ],
      "additionalProperties": false
    }
  },
  "required": [
    "session_id",
    "answers",
    "contact"
  ],
  "additionalProperties": false
}
🟢get_ai_governance_framework(session_id)

Returns the framework. The free preview covers the first two of the six AI6 practices in the National AI Centre's Guidance for AI Adoption — Accountability (Decide who is accountable) and Impact Assessment (Understand impacts and plan accordingly) — and part of the legislative mapping. The result carries the document as Markdown in the structuredContent field "framework_markdown", and in the text content block for clients that read those. The document, including its closing disclaimer, is the product the user receives. The result also includes a view_url, where the same document can be read in a browser; the preview page is read-only, and printing, saving and the extension of the link from two hours to 18 months are part of the purchased framework. The complete six-practice framework adds Risk Management (Measure and manage risks), Transparency & Information Sharing (Share essential information), Testing & Monitoring (Test and monitor) and Human Oversight (Maintain human control). It is a one-time $88 AUD including GST purchase at https://aiframework.com.au. There is no payment through this endpoint. The result includes a purchase_url which opens aiframework.com.au with this session's profile already loaded, so the user lands on the preview and its paywall rather than answering the questionnaire again. Payment is a further step on the website, through Stripe. Both links expire two hours after the profile was created. Informational only — presents a framework, not advice or compliance guidance.

Input Schema

{
  "type": "object",
  "properties": {
    "session_id": {
      "type": "string",
      "description": "Session ID returned by start_australian_ai_governance_framework"
    }
  },
  "required": [
    "session_id"
  ],
  "additionalProperties": false
}

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Evidence

Recent observations

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