[Feature] Implement MCP Evaluation Benchmarks Suite

[crivetimihai]

Overview

Implement a comprehensive MCP evaluation benchmarks suite under mcp-servers/ directory to assess the performance, reliability, and capabilities of MCP servers registered with the gateway.

Background

There are existing MCP evaluation frameworks that can be integrated or adapted:

• MCPBench (https://github.com/modelscope/MCPBench): Evaluates MCP servers across web search, database query, and general AI assistance tasks
• web-eval-agent (https://github.com/Operative-Sh/web-eval-agent): Autonomous web application testing with browser automation

Proposed Implementation

Core Features

• Standardized benchmark suite for evaluating MCP servers
• Performance metrics: latency, throughput, token consumption
• Accuracy metrics: task completion rate, error rates
• Resource utilization tracking
• Comparative analysis across different server implementations

Benchmark Categories

1. Web Search Benchmarks

• Implement QA pair evaluation (600+ test cases)
• Test search accuracy across different domains (news, tech, general)
• Measure response time and relevance

2. Database Query Benchmarks

• SQL query generation and execution
• Data retrieval accuracy
• Complex join and aggregation tests
• Performance under concurrent queries

3. Tool Invocation Benchmarks

• Tool discovery and parameter detection
• Multi-tool orchestration
• Error handling and recovery
• Rate limiting compliance

4. Web Application Testing (via browser automation)

• End-to-end functionality testing
• Network traffic analysis
• Console error detection
• UX performance metrics

Technical Architecture

mcp-servers/
├── benchmarks/
│   ├── __init__.py
│   ├── base.py                 # Base benchmark classes
│   ├── web_search/
│   │   ├── __init__.py
│   │   ├── datasets/           # Test datasets
│   │   └── evaluators.py       # Search evaluation logic
│   ├── database/
│   │   ├── __init__.py
│   │   ├── datasets/
│   │   └── evaluators.py
│   ├── tool_invocation/
│   │   ├── __init__.py
│   │   └── evaluators.py
│   └── web_testing/
│       ├── __init__.py
│       ├── playwright_runner.py
│       └── evaluators.py
├── reports/
│   ├── generator.py            # Report generation
│   └── templates/              # Report templates
└── cli.py                      # CLI interface for running benchmarks

Integration Points

1. Gateway Integration

   • Add benchmark endpoints to the gateway API
   • Store benchmark results in the database
   • Display results in the Admin UI

2. CLI Commands

   # Run all benchmarks for a server
   mcpgateway benchmark --server-id <id>
   
   # Run specific benchmark category
   mcpgateway benchmark --server-id <id> --category web-search
   
   # Compare multiple servers
   mcpgateway benchmark --compare server1,server2,server3

3. API Endpoints

   • POST /benchmarks/run - Trigger benchmark execution
   • GET /benchmarks/results/{id} - Retrieve benchmark results
   • GET /benchmarks/compare - Compare server performance

Metrics & Reporting

1. Performance Metrics

   • Response time (p50, p95, p99)
   • Throughput (requests/second)
   • Token consumption per task
   • Resource utilization (CPU, memory)

2. Quality Metrics

   • Task completion accuracy
   • Error rates and types
   • Timeout occurrences
   • Recovery from failures

3. Report Format

   • JSON for programmatic access
   • HTML dashboard with visualizations
   • CSV export for analysis
   • Markdown summary for documentation

Testing Strategy

1. Unit Tests

   • Test individual evaluator components
   • Mock server responses for deterministic testing

2. Integration Tests

   • Test with real MCP servers
   • Validate benchmark reproducibility

3. Performance Tests

   • Ensure benchmarks don't overwhelm servers
   • Test concurrent benchmark execution

Success Criteria

• Successfully evaluate at least 5 different MCP server types
• Generate reproducible benchmark scores
• Provide actionable insights for server optimization
• Enable comparative analysis between server implementations
• Support custom benchmark definitions

References

• MCPBench Paper: [arXiv link if available]
• MCP Protocol Specification
• Existing benchmark implementations to study

Future Enhancements

• Real-time benchmark monitoring
• Automated regression detection
• Custom benchmark definition via YAML/JSON
• Integration with CI/CD pipelines
• Leaderboard for public server comparisons

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Labels: enhancement, mcp-servers, benchmarks, evaluation, testing
Milestone: MCP Server Evaluation Suite
Priority: Medium