Pigment offers Model Context Protocol (MCP) solutions that Pigment users can leverage to access Pigment features securely through AI systems such as ChatGPT, Claude and Mistral.
What is MCP?
MCP is an open standard that allows AI systems to connect to external tools and data sources in a controlled, secure, and structured way.
By exposing Pigment capabilities via MCP, you enable AI systems to query data and retrieve insights directly from Pigment—all while respecting user permissions and Workspace security policies.
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See also the Pigment Feature Spotlight videos on the MCP Server:
Before you begin
The MCP Server is activated when you set up Pigment AI. Check whether MCP Server is already activated by following the Configure Pigment step-through below. If you cannot toggle on MCP (Model Context Protocol), it may not be activated in your Workspace.
The permissions and access rights needed are set out in detail in the Supported tools article.
Configure Pigment
Go to your Workspace and select Settings from the sidebar.
Select Integrations from the sidebar then the MCP tab in the main pane.
Toggle on MCP (Model Context Protocol).
A unique MCP Endpoint URL is generated, which you will need to connect a third-party AI system to Pigment.
If you plan to connect multiple Workspaces, each must have its own MCP Endpoint URL and connector. Test & Deploy environments also need one MCP Endpoint URL and connector each.
Troubleshooting
If you encounter issues while connecting:
Connection fails: verify that your MCP URL is active and the MCP Server is enabled in your Pigment Workspace.
Authentication errors: make sure you have the correct role and are using valid Pigment credentials.
Tools not visible: confirm that AI Data Access is enabled for the Metrics you want to query.
Multiple Workspaces: check that you’re using the correct MCP URL for the Workspace you’re trying to access.