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MCP Analytics

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

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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

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Analytics Dashboard

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Key Metrics

Request Volume

Total MCP server requests over time with trend analysis

Average Latency

Response times for each server and tool with performance trends

Success Rate

Percentage of successful tool executions and error rates

Unique Users

Active users making MCP requests across different time periods

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Time Period Analysis

Monitor usage across different time ranges:
  • Real-time (24h)
  • Weekly (7d)
  • Monthly (30d)
  • 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

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Server Performance Analytics

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Latency Analysis

Track response times across all MCP servers:

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Server Health Monitoring

Availability

Server uptime and connectivity status

Throughput

Requests per second and peak usage

Error Tracking

Error types, frequencies, and resolution

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Tool Usage Analytics

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

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Tool Performance

  • 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
  • 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

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User Activity Analytics

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

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Individual User Metrics

  • Enterprise Plans
  • Standard 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

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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

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Historical Analysis

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Trend Identification

1

Usage Growth

Track MCP adoption and usage growth over time
2

Performance Trends

Monitor latency and success rate changes
3

Seasonal Patterns

Identify daily, weekly, and monthly usage patterns
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Capacity Planning

Predict future resource needs based on trends

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Getting Started

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Enable Analytics

1

Automatic Collection

Analytics data collection is automatically enabled when you register MCP servers
2

Dashboard Access

Navigate to Analytics → MCP in your Requesty dashboard
3

Configure Views

Customize time periods, filters, and dashboard layout
4

Set Up Alerts

Configure notifications for important metrics and thresholds

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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

Deep Dive

Explore Performance Monitoring for general API analytics or learn about Cost Tracking for overall usage optimization.
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