> ## Documentation Index
> Fetch the complete documentation index at: https://docs.requesty.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# MCP Analytics

> Monitor and analyze MCP server usage, performance, and user activity

# MCP Analytics

<Info>
  Comprehensive analytics dashboard for monitoring MCP server usage, performance metrics, and user activity across your organization.

  <Note>
    **[View MCP analytics](https://app.requesty.ai/mcp-gateway)** in the Requesty Console.
  </Note>
</Info>

## Overview

MCP Analytics provides real-time and historical insights into:

* **Request Volume**: Total MCP server requests and trends
* **Performance Metrics**: Latency, success rates, and error tracking
* **Tool Usage**: Most popular tools and usage patterns
* **User Activity**: Individual and team usage statistics (Enterprise)
* **Cost Analysis**: Resource consumption and optimization opportunities

## Analytics Dashboard

### Key Metrics

<CardGroup cols={2}>
  <Card title="Request Volume" icon="chart-bar">
    Total MCP server requests over time with trend analysis
  </Card>

  <Card title="Average Latency" icon="clock">
    Response times for each server and tool with performance trends
  </Card>

  <Card title="Success Rate" icon="check-circle">
    Percentage of successful tool executions and error rates
  </Card>

  <Card title="Unique Users" icon="users">
    Active users making MCP requests across different time periods
  </Card>
</CardGroup>

### Time Period Analysis

Monitor usage across different time ranges:

<Tabs>
  <Tab title="Real-time (24h)">
    * **Hourly Breakdown**: Request patterns throughout the day
    * **Live Monitoring**: Active requests and server status
    * **Immediate Alerts**: Real-time error detection
    * **Performance Tracking**: Current latency and throughput
  </Tab>

  <Tab title="Weekly (7d)">
    * **Daily Trends**: Weekday vs weekend usage patterns
    * **Growth Analysis**: Week-over-week usage changes
    * **Tool Adoption**: New tool usage trends
    * **Performance Optimization**: Weekly performance reviews
  </Tab>

  <Tab title="Monthly (30d)">
    * **Long-term Trends**: Monthly usage and growth patterns
    * **Capacity Planning**: Resource usage projections
    * **User Onboarding**: New user adoption rates
    * **Strategic Insights**: Business impact analysis
  </Tab>
</Tabs>

## Server Performance Analytics

### Latency Analysis

Track response times across all MCP servers:

```mermaid theme={"dark"}
graph LR
    A[User Request] --> B[Gateway Processing]
    B --> C[MCP Server Response]
    C --> D[Total Latency]

    B --> E[Gateway Latency]
    C --> F[Server Latency]

    E --> G[Analytics Dashboard]
    F --> G
    D --> G
```

### Server Health Monitoring

<CardGroup cols={3}>
  <Card title="Availability" icon="wifi">
    Server uptime and connectivity status
  </Card>

  <Card title="Throughput" icon="zap">
    Requests per second and peak usage
  </Card>

  <Card title="Error Tracking" icon="alert-triangle">
    Error types, frequencies, and resolution
  </Card>
</CardGroup>

## Tool Usage Analytics

### Popular Tools

Track which MCP tools are most frequently used:

1. **Usage Ranking**: Tools ordered by request frequency
2. **Adoption Rate**: How quickly new tools are adopted
3. **User Preferences**: Which users prefer which tools
4. **Success Patterns**: Tools with highest success rates

### Tool Performance

<AccordionGroup>
  <Accordion title="Request Distribution">
    * **Tool Popularity**: Requests per tool over time
    * **User Adoption**: How many users use each tool
    * **Success Rates**: Tool-specific error rates
    * **Performance Impact**: Latency by tool type
  </Accordion>

  <Accordion title="Server Breakdown">
    * **Server Load**: Requests distributed across servers
    * **Tool Availability**: Which servers provide which tools
    * **Performance Comparison**: Server-specific performance metrics
    * **Capacity Utilization**: Resource usage per server
  </Accordion>
</AccordionGroup>

## User Activity Analytics

<Note>
  **Enterprise Feature**: Detailed user activity analytics are available only on Enterprise plans. Standard plans show organization-level aggregated data.
</Note>

### Individual User Metrics

<Tabs>
  <Tab title="Enterprise Plans">
    * **Personal Usage**: Individual user request patterns
    * **Tool Preferences**: Most used tools per user
    * **Performance Impact**: User-specific latency and success rates
    * **Activity Timeline**: Detailed usage history per user
    * **Cost Attribution**: Per-user resource consumption
  </Tab>

  <Tab title="Standard Plans">
    * **Organization Total**: Aggregated usage across all users
    * **Anonymous Patterns**: Usage trends without user identification
    * **General Metrics**: Overall tool popularity and performance
    * **Basic Analytics**: Request volume and success rates
  </Tab>
</Tabs>

### Team Analytics

For Enterprise customers:

* **Department Usage**: Analytics grouped by user teams/departments
* **Project Attribution**: Usage tied to specific projects or initiatives
* **Collaboration Patterns**: How teams use MCP tools together
* **Resource Allocation**: Cost and usage distribution across teams

## Historical Analysis

### Trend Identification

<Steps>
  <Step title="Usage Growth">
    Track MCP adoption and usage growth over time
  </Step>

  <Step title="Performance Trends">
    Monitor latency and success rate changes
  </Step>

  <Step title="Seasonal Patterns">
    Identify daily, weekly, and monthly usage patterns
  </Step>

  <Step title="Capacity Planning">
    Predict future resource needs based on trends
  </Step>
</Steps>

## Getting Started

### Enable Analytics

<Steps>
  <Step title="Automatic Collection">
    Analytics data collection is automatically enabled when you register MCP servers
  </Step>

  <Step title="Dashboard Access">
    Navigate to **Analytics → MCP** in your Requesty dashboard
  </Step>

  <Step title="Configure Views">
    Customize time periods, filters, and dashboard layout
  </Step>

  <Step title="Set Up Alerts">
    Configure notifications for important metrics and thresholds
  </Step>
</Steps>

### Best Practices

* **Regular Monitoring**: Check analytics weekly for performance trends
* **Threshold Tuning**: Adjust alert thresholds based on actual usage patterns
* **Historical Analysis**: Use long-term data for capacity planning
* **User Training**: Share insights with team to optimize MCP tool usage

***

<Card title="Deep Dive" icon="magnifying-glass">
  Explore [Performance Monitoring](/features/performance-monitoring) for general API analytics or learn about [Cost Tracking](/features/cost-tracking) for overall usage optimization.
</Card>