How to Measure MCP Adoption Across Connected AI Tools

This tutorial will guide you through the features of the MCP (Managed Content Platform) Analytics dashboard in Document 360. You will learn how to monitor usage, adoption, and performance across your connected AI tools, such as ChatGPT, Claude, and Copilot.

Accessing the Analytics Dashboard

To get started with the MCP Analytics dashboard:

• Navigate to the Analytics section in Document 360
• Select the MCP Server option

Understanding Key Metrics

At the top of the dashboard, various key metrics provide insights into your MCP usage. These metrics include:

• Total number of MCP calls
• Success and failure rates
• Number of active users currently utilizing MCP functionality

You can adjust the reporting period using the Date filter. This allows you to view data by week, month, or a custom date range based on your needs.

Exploring MCP Call Volume

Scroll down to the MCP Call Volume section. Here, you can hover over any point on the graph to reveal detailed information, including:

• Total number of MCP calls
• Successful requests
• Failed requests
• Overall success rate for that period

This section provides insights into how different MCP operations are being used, which may include actions such as reading, writing, and modifying content.

Reviewing Tool Calls by Usage

For a more detailed breakdown, focus on the MCP Tool Calls by Usage section. This section displays:

• Individual tool calls associated with each operation
• Actions under Write, such as creating or updating articles
• Operations under Read, like retrieving article content

Additionally, success and failure counts, along with success rates, are displayed for better analysis.

Identifying Top Users

The Top Users section highlights the top users ranked by MCP call volume during the selected period, showing the highest level of activity. By default, the top five users are displayed. This information helps identify adoption trends across platforms like Claude, ChatGPT, Copilot, and other connected MCP clients.

Monitoring Search Tool Queries

Further down the dashboard, the MCP Search Tool section presents the number of daily search queries made through the search tool. This is separate from the broader MCP tool calls. This chart assists you in understanding how frequently AI assistants are searching your knowledge base and whether search volume is increasing over time.

Conclusion

The MCP Analytics Dashboard offers valuable visibility into adoption, performance, and usage trends across your connected AI ecosystem. By monitoring these insights effectively, you can gain a better understanding of how teams are interacting with MCP-enabled tools, enabling you to make informed decisions to optimize AI-driven knowledge management.