MCP Setup Guide
Panorays Axis (MCP) is a separate product and may not be included in your current plan. If you don't see the Connectors option described below, or your organization hasn't yet purchased access, contact your account manager to enable it.
Panorays Axis lets you securely access, analyze, and act on third-party risk data directly through AI tools - delivering faster insights and more efficient security workflows. It's powered by a remote MCP server that securely connects external LLM tools to your Panorays environment.
The Model Context Protocol (MCP) is an open standard that lets AI applications connect directly and securely to external platforms. Instead of manually copying and pasting vendor data into your AI chats, you can use Panorays' MCP connector to query supply chain risk data, run vendor assessments, and pull findings straight from your AI interface.
Is My Data Safe?
Yes. The connection follows standard enterprise security practices to keep your data private:
Your conversations stay private. Your chat history and context are never sent to Panorays. Your AI assistant only sends small, specific requests when it needs to look up a particular piece of information.
Nothing is stored in transit. The service that handles these requests acts as a pass-through: it checks your permissions, fetches the data you asked for, and immediately discards it. No data is retained.
You stay in control. You can allow your AI tool to read data automatically, while still requiring your explicit approval before it makes any changes.
Connect Using Sign-In
There are two ways to connect to Panorays Axis, depending on what you're connecting.
Method 1 - Sign-In
This is the simplest and most secure option for everyday business users working in a chat interface. It links the tool directly to your personal user account.
Open your AI application (for example, Claude Desktop).
Go to Settings → Connectors → Add custom connector.
Paste the following connection link into the URL field:
https://mcp.panoraysapp.com/mcpClick Add. A secure Panorays sign-in window will open — log in with your usual corporate email credentials.
Method 2 - API Token
Best for automations and headless clients that can't complete a browser sign-in - for example, CI pipelines, server-side agents, or CLI tools.
Go to Company Settings → API Tokens and generate a token.
In your client configuration, use the same connection URL: https://mcp.panoraysapp.com/mcp
Add an Authorization: Bearer <token> header to your client config, using the token you generated.
For full technical details, see the Panorays MCP authentication documentation.
Important: The AI assistant receives the exact same permissions you already have in Panorays. If you can't see a particular vendor on your dashboard, your AI assistant won't be able to see it either.
Error 429 or Limit Reached
An HTTP 429 "Too Many Requests" error means you've sent too many requests to a server in a short amount of time. The server temporarily blocks you to prevent crashes, stop automated bots, or manage heavy traffic.
Panorays has a limit of 10,000 API calls - if you reach this limit, you'll likely encounter the same 429 error.
Panorays Axis uses the same API calls, so in cases of heavy usage you might reach this limit as well. For more information please refer to the Panorays Public API article.
For urgent assistance, contact our support team.