The Anecdotes MCP Server: Trusted GRC Data, Anywhere YOU Want It

At the recent GRC Data & AI Summit, our CPO Roi announced the release of the Anecdotes MCP Server. The release sparked excitement across the industry because it represents something GRC teams have been waiting for: a way to put their trusted compliance data directly into the AI assistants they already use. 

So, in this blog I want to tell you not just about what we’ve built, but what it means for the future of AI in GRC in recent weeks.

Data Belongs in Your Hands

GRC teams already lean on AI. Drafting audit responses, summarizing findings, pulling together first-pass risk reports, these are now part of their everyday workflow. The problem is that AI is only as smart as the data it is built on. Without direct access to complete, accurate and continuously updated data, the results generated by AI assistants are often incomplete and can’t really be trusted. That’s where the Anecdotes MCP comes in. 

At the core of Anecdotes’ philosophy is the understanding that the one thing that stands between GRC teams and their independence to do their job well is data. It’s why we build all of our plugins in house, it’s why we provide our users with the full datasets and not just test results, and it’s why our data is presented in a usable human-friendly format.

That data is the foundation upon which we built the first ever AI-native enterprise GRC platform.

The MCP Server is the continuation of that philosophy. It gives the freedom to use their data to answer an auditor’s question, generate board-level reporting, or enforce security policies in code - whatever they choose.

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An Example: Improving Your Risk Posture

To understand the true impact the server has on our users, let’s take an example of one way this is being used today. 

Managing risk is a key element of any GRC practitioner’s responsibilities, but doing it well is easier said than done. There are many ways an MCP server can help you improve your risk program, and an “actionable risk report” is one.

You can start by telling your AI agent of choice, to take your critical and high risks and for each of them, to provide an executive overview of their current state (e.g. what mitigating controls are in place and what their status is). 

Next you can ask the agent to create a clear action plan for ensuring each of those risks is reduced to within your risk appetite. You can give it a deadline, for example 90 days and ask it to determine the applicable control activities based on your existing adopted frameworks and tech stack.

Once you have a plan you are happy with you can ask the agent to create tickets for the relevant stakeholders using your ticketing system. You can of course monitor the progress of the plans using your agent as well, all thanks to your GRC data which is now accessible through the MCP server.

The Freedom to Build Your Own Workflows

That same freedom applies across the GRC journey. Through the MCP Server, customers can tell their AI to give them a summary of their existing gaps, open remediation tasks in their ticketing system, assign tasks to control owners, or generate a compliance summary for leadership, all using a single prompt.

Automate reporting? Done. Enforce policies in IT provisioning? Easy. Answer auditor follow-ups in plain language? Instant. The independence is yours.

A Step Forward in the AI-Native Journey

This release isn’t a one-off. It’s a natural extension of the path we’ve been on from day one: combining the power of AI with the credibility of trusted data. Now we’re extending that flexibility: giving you the power to bring your trusted data into any AI assistant or agent you choose.

AI in GRC is moving fast. But speed without trust doesn’t help anyone. With the Anecdotes MCP Server, you don’t have to choose between the two. You can move quickly, confidently, and independently - because your AI is working with the most reliable data in GRC.

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