AI agents are becoming how operational work actually gets done. Not just answering questions, but pulling data, acting on alerts, and completing workflows across the tools your team already uses. The infrastructure making that possible is MCP, Model Context Protocol, the open standard that connects AI tools to the systems your business runs on. Claude, ChatGPT, Gemini, and Microsoft Copilot all support it. So do Slack, Salesforce, Stripe, HubSpot, and dozens of other platforms teams rely on every day.

Most operational workflows have already collapsed into a handful of tools. Sales teams live in Salesforce and Slack. Engineers work in GitHub and their IDE. Risk teams are still the exception: a merchant alert fires, someone opens Coris, cross-references a support ticket, checks a Jira thread, pastes findings into an email. The data exists. The problem is it's spread across different places, and pulling it together is manual every single time. MCP is what finally makes that structural instead of a workaround. The cross-referencing happens in the conversation, not between tabs.

Today, Coris joins that ecosystem. Coris MCP connects your merchant risk data and workflows directly to Claude and ChatGPT, so your risk team can ask questions, pull data, and take action without leaving where they work.

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What it is

Once connected, Claude or ChatGPT has access to your Coris environment: MerchantProfiler signals, CorShield fraud scores, transactions, accounts, and more. Both read and write access, so you can query your portfolio or take action on what you find, without opening Coris separately.

A merchant's risk profile isn't static. What looked clean at onboarding can look very different 90 days later. Your AI tool can pull both the current picture and the history in the same conversation, across every signal Coris tracks, without you having to know where to look or which tab to open.

It's the same unified view Coris already gives you, now available wherever your team is working.

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What you can do with it

Get a live read on your portfolio, instantly.
Start your day by asking your AI tool what changed overnight. How many alerts came in? Which rules triggered most? Any disputes that need immediate attention? You get a full breakdown in seconds. No dashboard to build, no filters to set. Just ask.

Pull a complete merchant picture in one query.
Get a flag on a merchant and need the full story fast? Ask your AI tool for everything on that account: name, location, website, transaction rollups, open alerts, notes, account tags. Instead of clicking through tabs in Coris to piece it together, you get the full picture back in one response. From there you can ask follow-up questions, spot patterns across their history, or decide on next steps, all in the same thread.

Go from review to action without leaving the conversation.
Once you've reviewed a merchant and know what needs to happen, act on it right there. Log a note with your reasoning, update the alert assignment, move the case forward. No tab switch to Coris to record what you decided. The decision and the action stay in the same place.

Answer specific questions on demand.
Sometimes you need a number fast. "How many high-risk alerts came in this week?" "Which merchants triggered the most rules last month?" "What's the dispute volume trend this quarter?" Ask directly. Your AI tool pulls the answer from your live Coris data. No report builder, no waiting for someone to run a query.

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How to get started

Coris MCP works with Claude and ChatGPT. To get started in Claude: open Settings → Connectors, add Coris MCP, authenticate through Coris, and start asking.

1. Open Settings → Connectors in Claude.
2. Add the Coris MCP connector using mcp.coris.ai/mcp (or mcp.eu.coris.ai/mcp for EU customers).
3. Log in and grant access through Coris.
4. Start asking.

Merchant risk moves fast. Your tools should too.

Reach out to your Coris team and we'll get you connected.