Bring Trusted Governance Intelligence to Your AI with the Mine MCP Server

AI assistants are part of everyday work. Teams are using Claude, ChatGPT, Microsoft Copilot, Gemini, and custom AI applications to answer questions, automate tasks, and accelerate decision-making.

As AI becomes another interface for getting work done, compliance and governance work is an obvious place to create efficient workflows.

The Mine MCP Server makes that possible.

Using the Model Context Protocol (MCP), organizations can securely connect MineOS to AI assistants, custom agents, and enterprise applications. Instead of rebuilding privacy workflows or duplicating business logic, companies can leverage MineOS capabilities through standardized MCP endpoints and bring trusted governance intelligence into the tools their teams already use.

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Build AI Workflows Around MineOS

Every organization has its own way of working. Some build internal AI assistants. Others automate business processes or integrate AI into existing applications.

The Mine MCP Server gives organizations the flexibility to build those experiences while using MineOS as the trusted privacy engine behind them.

Teams can create AI-powered workflows that interact with MineOS to:

• Trigger privacy and governance workflows - automatically launch a Risk Assessment when a new vendor is onboarded, or kick off a data subject request the moment a customer submits an erasure request through a support chatbot.
• Create and update assessments - auto-populate a vendor risk assessment from intake form answers, or update an existing DPIA when a product team changes a processing purpose.
• Expand data subject request processes - verify requester identity, retrieve the relevant records, and close out a DSR directly from Slack, Teams, or a customer support tool.
• Access privacy inventory and governance data - ask “what personal data do we process about EU customers” and get an answer sourced from your live data map, ROPA, and vendor inventory.
• Integrate privacy actions into existing business systems - flag a new SaaS tool for privacy review inside a procurement or IT ticketing workflow before the purchase is approved.
• Run gap analysis between policies and platform reality - compare stated commitments in a public privacy policy or DPA (retention periods, processing purposes, “we do not sell personal data”) against live inventory, vendor, and data flow information, and flag discrepancies before they become compliance or trust issues.
• Support AI governance use cases - inventory AI models and use cases across the business, assess a new LLM-powered feature against frameworks like the EU AI Act, and monitor high-risk AI vendors alongside your existing vendor risk program.
• Surface reporting and KPIs on demand - generate real-time compliance dashboards, DSR turnaround times, assessment completion rates, and audit-ready governance reports directly inside a chat interface, without opening MineOS.

Whether you're building a custom application or extending an existing AI assistant, MineOS becomes part of your workflow - not another destination users need to learn.

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Automate More Than Privacy Tasks

The Mine MCP Server also makes it easier to automate the work surrounding privacy operations.

For example, organizations can build AI agents that review incoming requests, remove duplicate submissions, route requests based on business logic, or synchronize information across connected systems before work even reaches the privacy team.

These same agents can run continuously in the background - for example, comparing published policy language to what's actually configured across connected systems, and surfacing gaps for review rather than waiting for the next audit cycle.

Customers can also build their own agents on top of MineOS, using the MCP Server to access approved capabilities and create automations tailored to their unique processes.

This flexibility allows organizations to innovate while keeping MineOS at the center of their privacy operations.

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Built on Trusted Context

What makes the Mine MCP Server different isn't simply that it exposes APIs.

It connects AI to the trusted context already available across your privacy program.

MineOS provides intelligence grounded in your organization's inventory, assessments, vendor information, data classification, discovery results, and connected business systems. Rather than relying solely on public knowledge, AI can operate with the context needed to support privacy workflows more accurately and consistently.

At the same time, Mine's built-in AI agents remain purpose-built for privacy and compliance. They are continuously optimized for specific workflows, designed to provide evidence-backed recommendations, reduce hallucinations, and deliver results organizations can trust.

The result is an open architecture that gives organizations the freedom to build their own AI experiences while benefiting from trusted governance intelligence.

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See the Mine MCP Server in Action

As AI becomes embedded across the enterprise, privacy operations need to be just as connected.

The Mine MCP Server extends the intelligence of MineOS beyond the platform, enabling organizations to build custom AI experiences, automate business processes, and bring trusted privacy capabilities into the applications employees use every day.

Schedule a demo to see how the Mine MCP Server connects MineOS to your AI assistants, enterprise applications, and custom workflows - and discover how Autonomous Privacy can work wherever your business does.

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