Sample MCP Server - Rust (performance-benchmark-server)

## Overview
Create a sample MCP Server in Rust that provides comprehensive performance benchmarking and profiling capabilities for applications, systems, and network resources.

## Server Specifications

### **Server Details**
- **Name**: `performance-benchmark-server`
- **Language**: Rust 1.75+
- **Location**: `mcp-servers/rust/performance-benchmark-server/`
- **Purpose**: Demonstrate high-performance benchmarking and profiling via MCP

### **Core Features**
- CPU and memory benchmarking
- Network performance testing
- I/O throughput measurement
- Concurrent load testing
- Statistical analysis of results
- Cross-platform performance metrics

### **Tools Provided**

#### 1. `cpu_benchmark`
CPU performance testing with various workloads
```rust
#[derive(Deserialize)]
struct CpuBenchmarkRequest {
    test_type: String,      // arithmetic, memory_bound, cache_intensive, prime_sieve
    duration_secs: u64,     // Test duration
    thread_count: Option<usize>, // Number of threads (default: CPU cores)
    workload_size: Option<usize>, // Problem size for scalable tests
    iterations: Option<u64>, // For deterministic tests
}
```

#### 2. `memory_benchmark`
Memory performance and allocation testing
```rust
#[derive(Deserialize)]
struct MemoryBenchmarkRequest {
    test_type: String,      // sequential_read, random_access, allocation_speed
    memory_size: String,    // "1MB", "100MB", "1GB" 
    access_pattern: String, // sequential, random, stride
    thread_count: Option<usize>,
    iterations: u64,
}
```

#### 3. `network_benchmark`
Network performance testing
```rust
#[derive(Deserialize)]
struct NetworkBenchmarkRequest {
    test_type: String,      // latency, throughput, concurrent_connections
    target_host: String,    // Target server
    port: u16,
    protocol: String,       // tcp, udp, http, https
    concurrent_connections: usize,
    data_size: String,      // Per-request data size
    duration_secs: u64,
}
```

#### 4. `io_benchmark`
File system and disk I/O performance testing
```rust
#[derive(Deserialize)]
struct IoBenchmarkRequest {
    test_type: String,      // sequential_write, random_read, mixed_workload
    file_path: String,      // Test file path
    file_size: String,      // Total file size for test
    block_size: String,     // I/O block size (4KB, 64KB, 1MB)
    sync_mode: String,      // sync, async, direct
    thread_count: Option<usize>,
}
```

#### 5. `load_test`
Comprehensive load testing with configurable scenarios
```rust
#[derive(Deserialize)]
struct LoadTestRequest {
    target_url: String,
    request_method: String, // GET, POST, PUT, DELETE
    headers: HashMap<String, String>,
    body: Option<String>,
    concurrent_users: usize,
    requests_per_second: Option<f64>,
    duration_secs: u64,
    ramp_up_secs: Option<u64>,
}
```

#### 6. `profile_application`
Application profiling and performance analysis
```rust
#[derive(Deserialize)]
struct ProfileRequest {
    command: String,        // Command to profile
    args: Vec<String>,      // Command arguments
    profile_type: String,   // cpu, memory, io, all
    duration_secs: Option<u64>,
    sampling_freq: Option<u32>, // Sampling frequency in Hz
    output_format: String,  // json, flamegraph, callgrind
}
```

#### 7. `system_stress`
System stress testing and stability analysis
```rust
#[derive(Deserialize)]
struct StressTestRequest {
    stress_type: String,    // cpu, memory, io, network, all
    intensity: f64,         // Stress intensity (0.0-1.0)
    duration_secs: u64,
    monitor_metrics: bool,
    target_resources: Option<Vec<String>>,
}
```

#### 8. `compare_results`
Statistical comparison of benchmark results
```rust
#[derive(Deserialize)]
struct CompareRequest {
    baseline_results: String, // JSON results from previous benchmark
    current_results: String,  // JSON results to compare against
    metrics: Vec<String>,     // Metrics to compare
    significance_level: f64,  // Statistical significance threshold
}
```

### **Implementation Requirements**

#### Directory Structure
```
mcp-servers/rust/performance-benchmark-server/
├── src/
│   ├── main.rs
│   ├── lib.rs
│   ├── benchmarks/
│   │   ├── mod.rs
│   │   ├── cpu.rs
│   │   ├── memory.rs
│   │   ├── network.rs
│   │   ├── io.rs
│   │   └── load_test.rs
│   ├── profiling/
│   │   ├── mod.rs
│   │   ├── cpu_profiler.rs
│   │   ├── memory_profiler.rs
│   │   └── flamegraph.rs
│   ├── metrics/
│   │   ├── mod.rs
│   │   ├── collector.rs
│   │   └── statistics.rs
│   ├── utils/
│   │   ├── mod.rs
│   │   ├── system_info.rs
│   │   └── results.rs
│   └── config.rs
├── Cargo.toml
├── README.md
├── tests/
├── benchmarks/           # Built-in benchmark suite
│   ├── cpu_tests.rs
│   ├── memory_tests.rs
│   └── integration.rs
└── examples/
    ├── basic_benchmarks.rs
    ├── load_testing.rs
    └── profiling_example.rs
```

#### Dependencies
```toml
# Cargo.toml
[package]
name = "performance-benchmark-server"
version = "0.1.0"
edition = "2021"

[dependencies]
mcp = { path = "../mcp-rust" }
tokio = { version = "1.35", features = ["full"] }
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"

# Performance and benchmarking
criterion = "0.5"
sysinfo = "0.30"
heim = "0.1"
perf-event = "0.4"

# Networking
reqwest = { version = "0.11", features = ["json"] }
tokio-tungstenite = "0.20"

# I/O and file system
tempfile = "3.8"
memmap2 = "0.9"

# Statistics and analysis
statistical = "1.0"
plotters = "0.3"

# System interaction
nix = "0.27"
libc = "0.2"

# Utilities
rayon = "1.8"
crossbeam = "0.8"
dashmap = "5.5"
uuid = "1.6"
chrono = { version = "0.4", features = ["serde"] }

[dev-dependencies]
proptest = "1.4"
```

### **Configuration**
```toml
# config.toml
[benchmark]
default_duration = 10      # seconds
max_duration = 300        # seconds  
max_threads = 32
max_memory_size = "8GB"
temp_dir = "./benchmark_temp"

[network]
timeout = 30              # seconds
max_concurrent = 1000
allowed_hosts = ["localhost", "127.0.0.1", "::1"]
default_port_range = [8000, 9000]

[profiling]
sampling_frequency = 1000 # Hz
max_profile_duration = 300 # seconds
output_directory = "./profiles"
enable_flamegraphs = true

[system]
monitor_interval = 100    # milliseconds
enable_hardware_counters = true
collect_system_metrics = true
```

### **Usage Examples**

#### CPU Benchmarking
```bash
# CPU arithmetic benchmark
echo '{
  "method": "tools/call",
  "params": {
    "name": "cpu_benchmark",
    "arguments": {
      "test_type": "arithmetic",
      "duration_secs": 30,
      "thread_count": 8
    }
  }
}' | performance-benchmark-server
```

#### Memory Performance Testing
```bash
# Memory allocation benchmark
echo '{
  "method": "tools/call", 
  "params": {
    "name": "memory_benchmark",
    "arguments": {
      "test_type": "allocation_speed",
      "memory_size": "100MB",
      "access_pattern": "sequential",
      "iterations": 1000
    }
  }
}' | performance-benchmark-server
```

#### Network Load Testing
```bash
# HTTP load test
echo '{
  "method": "tools/call",
  "params": {
    "name": "load_test",
    "arguments": {
      "target_url": "http://localhost:8080/api/test",
      "request_method": "GET",
      "concurrent_users": 100,
      "requests_per_second": 500,
      "duration_secs": 60,
      "ramp_up_secs": 10
    }
  }
}' | performance-benchmark-server
```

#### Application Profiling
```bash
# Profile a Rust application
echo '{
  "method": "tools/call",
  "params": {
    "name": "profile_application", 
    "arguments": {
      "command": "./target/release/my_app",
      "args": ["--mode", "production"],
      "profile_type": "cpu",
      "duration_secs": 60,
      "output_format": "flamegraph"
    }
  }
}' | performance-benchmark-server
```

### **Advanced Features**
- **Hardware Counters**: CPU performance counters (cache misses, branch predictions)
- **NUMA Awareness**: Multi-socket system optimization
- **Container Metrics**: Docker and Kubernetes performance analysis
- **Continuous Monitoring**: Long-term performance tracking
- **Regression Detection**: Automatic performance regression detection
- **Custom Workloads**: User-defined benchmark scenarios

### **Statistical Analysis**
- **Percentile Analysis**: P50, P95, P99 latency measurements
- **Confidence Intervals**: Statistical significance testing
- **Outlier Detection**: Anomaly identification in results
- **Trend Analysis**: Performance trend visualization
- **Correlation Analysis**: Multi-metric relationship analysis

### **Performance Optimizations**
- **Zero-Copy Operations**: Minimize memory allocations
- **SIMD Instructions**: Vectorized benchmark operations  
- **Lock-Free Data Structures**: High-concurrency measurements
- **Memory Pool**: Efficient memory management
- **Async I/O**: Non-blocking performance testing

### **Results Format**
```rust
#[derive(Serialize)]
struct BenchmarkResult {
    test_name: String,
    timestamp: DateTime<Utc>,
    system_info: SystemInfo,
    configuration: TestConfiguration,
    metrics: BenchmarkMetrics,
    statistics: StatisticalSummary,
    raw_data: Option<Vec<Measurement>>,
}

#[derive(Serialize)]
struct BenchmarkMetrics {
    throughput: Option<f64>,    // ops/sec or MB/sec
    latency: Option<LatencyStats>,
    cpu_usage: Option<f64>,     // percentage
    memory_usage: Option<u64>,  // bytes
    error_rate: Option<f64>,    // percentage
}
```

### **Testing Requirements**
- Unit tests for all benchmark algorithms
- Integration tests with real workloads
- Performance regression tests
- Cross-platform compatibility testing
- Stress testing of the benchmarking system itself
- Accuracy verification against known baselines

## Acceptance Criteria
- [ ] Rust MCP server with 8+ performance testing tools
- [ ] CPU, memory, network, and I/O benchmarking capabilities
- [ ] Application profiling with flamegraph generation
- [ ] Load testing with concurrent user simulation
- [ ] Statistical analysis and comparison features
- [ ] System stress testing and monitoring
- [ ] Cross-platform support (Linux, macOS, Windows)
- [ ] Comprehensive test suite with performance validation (>90% coverage)
- [ ] Optimized implementation with minimal overhead
- [ ] Complete documentation with benchmarking best practices

## Priority
Medium - Demonstrates performance-critical applications and Rust's zero-cost abstractions

## Use Cases
- Application performance optimization
- System capacity planning
- Performance regression detection
- Load testing and scalability analysis
- Hardware benchmarking and comparison
- Development environment performance validation
- CI/CD performance testing integration

Sample MCP Server - Rust (performance-benchmark-server) #902

Description

Overview

Server Specifications

Server Details

Core Features

Tools Provided

1. cpu_benchmark

2. memory_benchmark

3. network_benchmark

4. io_benchmark

5. load_test

6. profile_application

7. system_stress

8. compare_results

Implementation Requirements

Directory Structure

Dependencies

Configuration

Usage Examples

CPU Benchmarking

Memory Performance Testing

Network Load Testing

Application Profiling

Advanced Features

Statistical Analysis

Performance Optimizations

Results Format

Testing Requirements

Acceptance Criteria

Priority

Use Cases

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions

1. `cpu_benchmark`

2. `memory_benchmark`

3. `network_benchmark`

4. `io_benchmark`

5. `load_test`

6. `profile_application`

7. `system_stress`

8. `compare_results`