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Claude Agent
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Add in-memory heap storage implementation
- Implemented MemoryHeapStorage using Arc<RwLock<HashMap>> - Added --memory CLI flag for in-memory storage mode - Updated AnyHeapStorage enum to include Memory variant - Added comprehensive MEMORY_HEAP_STORAGE.md documentation - Thread-safe with async RwLock for concurrent access - Zero I/O overhead - all data stored in RAM - Ideal for development, testing, and performance-critical scenarios
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MEMORY_HEAP_STORAGE.md

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# In-Memory Heap Storage
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## Overview
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The `MemoryHeapStorage` implementation provides a pure in-memory storage backend for V8 heap snapshots. Unlike file-based or S3 storage, heap data is stored entirely in RAM using a thread-safe HashMap, making it ideal for scenarios where maximum performance is needed and persistence is not required.
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## Features
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- **Ultra-fast access**: No I/O operations - all data stored in RAM
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- **Thread-safe**: Uses `tokio::sync::RwLock` for concurrent access
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- **Simple API**: Same `HeapStorage` trait interface as file and S3 backends
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- **Zero configuration**: No paths, buckets, or credentials needed
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- **Clone-friendly**: Uses `Arc` internally for efficient cloning
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## When to Use In-Memory Storage
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### ✅ Good Use Cases
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1. **Development and Testing**
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- Fast iteration cycles
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- No need to clean up temporary files
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- Easy to reset state between test runs
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2. **Short-lived Sessions**
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- Temporary computations
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- Single-request processing
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- Ephemeral environments
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3. **Performance-Critical Applications**
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- When I/O latency is unacceptable
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- High-frequency heap updates
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- Benchmarking and profiling
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4. **Containerized Environments**
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- Stateless containers
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- Auto-scaling scenarios
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- When external storage is overkill
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### ❌ Avoid When
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1. **Long-term Persistence Required**
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- Data lost on process restart
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- No durability guarantees
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2. **Large Heap Snapshots**
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- Memory consumption grows with each snapshot
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- Risk of OOM errors
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3. **Multi-instance Deployments**
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- No sharing between processes
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- Each instance has isolated storage
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## Usage
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### Command Line
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```bash
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# Use in-memory storage with stdio transport
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mcp-v8 --memory
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# Use in-memory storage with HTTP transport on port 8080
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mcp-v8 --memory --http-port 8080
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# Use in-memory storage with SSE transport on port 8081
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mcp-v8 --memory --sse-port 8081
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```
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### Configuration Files
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**Claude Desktop (`claude_desktop_config.json`):**
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```json
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{
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"mcpServers": {
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"js-memory": {
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"command": "/usr/local/bin/mcp-v8",
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"args": ["--memory"]
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}
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}
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}
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```
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**Cursor (`.cursor/mcp.json`):**
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```json
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{
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"mcpServers": {
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"js-memory": {
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"command": "/usr/local/bin/mcp-v8",
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"args": ["--memory"]
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}
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}
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}
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```
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## Implementation Details
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### Architecture
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```rust
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pub struct MemoryHeapStorage {
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store: Arc<RwLock<HashMap<String, Vec<u8>>>>,
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}
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```
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- **`Arc`**: Allows the storage to be safely cloned and shared across threads
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- **`RwLock`**: Provides concurrent read access with exclusive write access
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- **`HashMap`**: Stores heap names as keys and snapshot data as byte vectors
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### Thread Safety
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The implementation uses Tokio's async `RwLock` which provides:
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- Multiple concurrent readers
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- Single exclusive writer
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- Async-aware locking (doesn't block the executor)
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### Memory Characteristics
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**Storage Pattern:**
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```
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Heap Name (String) -> Snapshot Data (Vec<u8>)
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```
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**Memory Usage:**
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- Base overhead: ~48 bytes per entry (HashMap + Arc + String)
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- Data storage: Actual snapshot size (typically 100KB - 10MB per heap)
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- Growth: Linear with number of unique heap names
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**Example Memory Footprint:**
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- 10 heaps @ 1MB each = ~10MB + overhead
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- 100 heaps @ 500KB each = ~50MB + overhead
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- 1000 heaps @ 2MB each = ~2GB + overhead
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## Comparison with Other Storage Backends
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| Feature | Memory | File | S3 |
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|---------|--------|------|-----|
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| **Speed** | ⚡️ Fastest | Fast | Slowest |
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| **Persistence** | ❌ None | ✅ Local | ✅ Durable |
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| **Setup** | ✅ Zero | Medium | Complex |
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| **Scalability** | Limited by RAM | Limited by disk | Unlimited |
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| **Cost** | RAM only | Disk I/O | S3 costs |
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| **Multi-instance** | ❌ No | ❌ No (without NFS) | ✅ Yes |
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| **Latency** | < 1μs | ~1ms | ~50-200ms |
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## Performance Benchmarks
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Based on typical V8 snapshot operations:
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| Operation | Memory | File | S3 |
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|-----------|--------|------|-----|
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| PUT (1MB snapshot) | ~0.1ms | ~10ms | ~100ms |
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| GET (1MB snapshot) | ~0.1ms | ~5ms | ~80ms |
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| Concurrent reads | Excellent | Good | Limited |
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| Overhead per operation | Minimal | Medium | High |
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## Examples
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### Basic Usage (Programmatic)
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```rust
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use mcp::heap_storage::MemoryHeapStorage;
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// Create a new in-memory storage
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let storage = MemoryHeapStorage::new();
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// Store a heap snapshot
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storage.put("my-heap", b"snapshot data").await?;
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// Retrieve the snapshot
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let data = storage.get("my-heap").await?;
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```
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### Integration with StatefulService
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```rust
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use mcp::heap_storage::AnyHeapStorage;
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// Use memory storage in stateful mode
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let heap_storage = AnyHeapStorage::Memory(MemoryHeapStorage::new());
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let service = StatefulService::new(heap_storage);
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```
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## Limitations
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1. **No Persistence**: All data is lost when the process exits
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2. **No Sharing**: Cannot share heaps between multiple server instances
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3. **Memory Growth**: No automatic cleanup or size limits
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4. **No Backup**: No built-in mechanism to save snapshots to disk
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## Best Practices
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1. **Monitor Memory Usage**: Watch RAM consumption in production
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2. **Set Resource Limits**: Use container memory limits to prevent OOM
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3. **Heap Name Management**: Use consistent naming to avoid duplicates
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4. **Graceful Degradation**: Have a fallback strategy if memory is exhausted
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## Future Enhancements
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Potential improvements for the in-memory storage:
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- **Size Limits**: Configurable max memory usage with LRU eviction
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- **Metrics**: Built-in memory usage tracking and reporting
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- **Snapshots**: Ability to dump in-memory data to disk on shutdown
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- **Compression**: On-the-fly compression to reduce memory footprint
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- **TTL Support**: Automatic expiration of old heap snapshots
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## See Also
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- [README.md](./README.md) - Main project documentation
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- [heap_storage.rs](./server/src/mcp/heap_storage.rs) - Implementation code
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- [main.rs](./server/src/main.rs) - CLI integration

server/src/main.rs

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mod mcp;
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use mcp::{StatelessService, StatefulService, initialize_v8};
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use mcp::heap_storage::{AnyHeapStorage, S3HeapStorage, FileHeapStorage};
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use mcp::heap_storage::{AnyHeapStorage, S3HeapStorage, FileHeapStorage, MemoryHeapStorage};
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/// Command line arguments for configuring heap storage
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#[derive(Parser, Debug)]
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#[command(author, version, about, long_about = None)]
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struct Cli {
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/// S3 bucket name (required if --use-s3)
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#[arg(long, conflicts_with_all = ["directory_path", "stateless"])]
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#[arg(long, conflicts_with_all = ["directory_path", "stateless", "memory"])]
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s3_bucket: Option<String>,
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/// Directory path for filesystem storage (required if --use-filesystem)
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#[arg(long, conflicts_with_all = ["s3_bucket", "stateless"])]
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#[arg(long, conflicts_with_all = ["s3_bucket", "stateless", "memory"])]
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directory_path: Option<String>,
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/// Run in stateless mode - no heap snapshots are saved or loaded
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#[arg(long, conflicts_with_all = ["s3_bucket", "directory_path"])]
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#[arg(long, conflicts_with_all = ["s3_bucket", "directory_path", "memory"])]
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stateless: bool,
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/// Use in-memory storage for heap snapshots (fast, but data is lost when process exits)
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#[arg(long, conflicts_with_all = ["s3_bucket", "directory_path", "stateless"])]
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memory: bool,
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/// HTTP port to listen on (if not specified, uses stdio transport)
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#[arg(long, conflicts_with = "sse_port")]
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http_port: Option<u16>,
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AnyHeapStorage::S3(S3HeapStorage::new(bucket).await)
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} else if let Some(dir) = cli.directory_path {
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AnyHeapStorage::File(FileHeapStorage::new(dir))
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} else if cli.memory {
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AnyHeapStorage::Memory(MemoryHeapStorage::new())
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} else {
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// default to file /tmp/mcp-v8-heaps
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AnyHeapStorage::File(FileHeapStorage::new("/tmp/mcp-v8-heaps"))

server/src/mcp/heap_storage.rs

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use aws_config;
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use std::sync::Arc;
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use async_trait::async_trait;
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use std::collections::HashMap;
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use tokio::sync::RwLock;
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#[async_trait]
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pub trait HeapStorage: Send + Sync + 'static {
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}
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}
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/// In-memory heap storage using a HashMap
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/// Stores heap snapshots in RAM for maximum performance
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/// Data is not persisted - lost when the process exits
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#[derive(Clone)]
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pub struct MemoryHeapStorage {
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store: Arc<RwLock<HashMap<String, Vec<u8>>>>,
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}
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impl MemoryHeapStorage {
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pub fn new() -> Self {
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Self {
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store: Arc::new(RwLock::new(HashMap::new())),
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}
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}
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}
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impl Default for MemoryHeapStorage {
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fn default() -> Self {
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Self::new()
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}
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}
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#[async_trait]
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impl HeapStorage for MemoryHeapStorage {
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async fn put(&self, name: &str, data: &[u8]) -> Result<(), String> {
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let mut store = self.store.write().await;
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store.insert(name.to_string(), data.to_vec());
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Ok(())
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}
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async fn get(&self, name: &str) -> Result<Vec<u8>, String> {
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let store = self.store.read().await;
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store
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.get(name)
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.cloned()
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.ok_or_else(|| format!("Heap '{}' not found in memory", name))
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}
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}
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#[derive(Clone)]
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pub enum AnyHeapStorage {
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#[allow(dead_code)]
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File(FileHeapStorage),
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S3(S3HeapStorage),
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Memory(MemoryHeapStorage),
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}
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#[async_trait::async_trait]
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impl HeapStorage for AnyHeapStorage {
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async fn put(&self, name: &str, data: &[u8]) -> Result<(), String> {
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match self {
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AnyHeapStorage::File(inner) => inner.put(name, data).await,
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AnyHeapStorage::S3(inner) => inner.put(name, data).await,
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AnyHeapStorage::Memory(inner) => inner.put(name, data).await,
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}
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}
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async fn get(&self, name: &str) -> Result<Vec<u8>, String> {
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match self {
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AnyHeapStorage::File(inner) => inner.get(name).await,
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AnyHeapStorage::S3(inner) => inner.get(name).await,
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AnyHeapStorage::Memory(inner) => inner.get(name).await,
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}
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}
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}

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