MCP Server Integration with Concierge

Metric Insights supports AI chatbot and agent integration through the Model Context Protocol (MCP). This feature allows access to Conversational Analytic and other AI-powered tools directly within Concierge, so Users can ask natural language questions about data.

NOTE: This functionality is available in Metric Insights starting in version 7.1.1.

MCP Servers Requirements

Any MCP Server that meets the following requirements can be set up as an external resource for Concierge:

  • Transport Protocols: It must support Server-Sent Events (SSE) or other streamable HTTP transports as specified in the MCP Transport Specification.
  • Authentication: Can be configured by specifying the required HTTP headers in the External Resource Configuration. The tokens themselves can be stored as encoded variables for better security.

Concierge supports MCP integration with any LLM API and does not rely on the LLM provider to implement MCP. Instead, Concierge uses its own MCP client implementation.

NOTE: For more information about MCP Server implementation, contact Metric Insights support team.

Metric Insights Implementation

The external tools selector can be enabled on the Customize tab of the Concierge Setup page. It adds the [+All Sources] button on the bottom of the Concierge sidebar that allows Users to choose what Source to address the query to.

The chosen external tool is shown as an icon near the Concierge icon, in the Source field and as a tag on the bottom of the Concierge sidebar.

To view the full response, click Expand. This will open the query result in a separate window.