v3-mcp-optimization

# V3 MCP Optimization ## What This Skill Does Optimizes claude-flow v3 MCP (Model Context Protocol) server implementation with advanced transport layer optimizations, connection pooling, load balancing, and comprehensive performance monitoring to achieve sub-100ms response times. ## Quick Start ```bash # Initialize MCP optimization analysis Task("MCP architecture", "Analyze current MCP server performance and bottlenecks", "mcp-specialist") # Optimization implementation (parallel) Task("Connection pooling", "Implement MCP connection pooling and reuse", "mcp-specialist") Task("Load balancing", "Add dynamic load balancing for MCP tools", "mcp-specialist") Task("Transport optimization", "Optimize transport layer performance", "mcp-specialist") ``` ## MCP Performance Architecture ### Current State Analysis ``` Current MCP Issues: ├── Cold Start Latency: ~1.8s MCP server init ├── Connection Overhead: New connection per request ├── Tool Registry: Linear search O(n) for 213+ tools ├── Transport Layer: No connection reuse └── Memory Usage: No cleanup of idle connections Target Performance: ├── Startup Time: <400ms (4.5x improvement) ├── Tool Lookup: <5ms (O(1) hash table) ├── Connection Reuse: 90%+ connection pool hits ├── Response Time: <100ms p95 └── Memory Efficiency: 50% reduction ``` ### MCP Server Architecture ```typescript // src/core/mcp/mcp-server.ts import { Server } from "@modelcontextprotocol/sdk/server/index.js"; import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js"; interface OptimizedMCPConfig { // Connection pooling maxConnections: number; idleTimeoutMs: number; connectionReuseEnabled: boolean; // Tool registry toolCacheEnabled: boolean; toolIndexType: "hash" | "trie"; // Performance requestTimeoutMs: number; batchingEnabled: boolean; compressionEnabled: boolean; // Monitoring metricsEnabled: boolean; healthCheckIntervalMs: number; } export class OptimizedMCPServer { private server: Server; private connectionPool: ConnectionPool; private toolRegistry: FastToolRegistry; private loadBalancer: MCPLoadBalancer; private metrics: MCPMetrics; constructor(config: OptimizedMCPConfig) { this.server = new Server( { name: "claude-flow-v3", version: "3.0.0", }, { capabilities: { tools: { listChanged: true }, resources: { subscribe: true, listChanged: true }, prompts: { listChanged: true }, }, }, ); this.connectionPool = new ConnectionPool(config); this.toolRegistry = new FastToolRegistry(config.toolIndexType); this.loadBalancer = new MCPLoadBalancer(); this.metrics = new MCPMetrics(config.metricsEnabled); } async start(): Promise<void> { // Pre-warm connection pool await this.connectionPool.preWarm(); // Pre-build tool index await this.toolRegistry.buildIndex(); // Setup request handlers with optimizations this.setupOptimizedHandlers(); // Start health monitoring this.startHealthMonitoring(); // Start server const transport = new StdioServerTransport(); await this.server.connect(transport); this.metrics.recordStartup(); } } ``` ## Connection Pool Implementation ### Advanced Connection Pooling ```typescript // src/core/mcp/connection-pool.ts interface PooledConnection { id: string; connection: MCPConnection; lastUsed: number; usageCount: number; isHealthy: boolean; } export class ConnectionPool { private pool: Map<string, PooledConnection> = new Map(); private readonly config: ConnectionPoolConfig; private healthChecker: HealthChecker; constructor(config: ConnectionPoolConfig) { this.config = { maxConnections: 50, minConnections: 5, idleTimeoutMs: 300000, // 5 minutes maxUsageCount: 1000, healthCheckIntervalMs: 30000, ...config, }; this.healthChecker = new HealthChecker(this.config.healthCheckIntervalMs); } async getConnection(endpoint: string): Promise<MCPConnection> { const start = performance.now(); // Try to get from pool first const pooled = this.findAvailableConnection(endpoint); if (pooled) { pooled.lastUsed = Date.now(); pooled.usageCount++; this.recordMetric("pool_hit", performance.now() - start); return pooled.connection; } // Check pool capacity if (this.pool.size >= this.config.maxConnections) { await this.evictLeastUsedConnection(); } // Create new connection const connection = await this.createConnection(endpoint); const pooledConn: PooledConnection = { id: this.generateConnectionId(), connection, lastUsed: Date.now(), usageCount: 1, isHealthy: true, }; this.pool.set(pooledConn.id, pooledConn); this.recordMetric("pool_miss", performance.now() - start); return connection; } async releaseConnection(connection: MCPConnection): Promise<void> { // Mark connection as available for reuse const pooled = this.findConnectionById(connection.id); if (pooled) { // Check if connection should be retired if (pooled.usageCount >= this.config.maxUsageCount) { await this.removeConnection(pooled.id); } } } async preWarm(): Promise<void> { const connections: Promise<MCPConnection>[] = []; for (let i = 0; i < this.config.minConnections; i++) { connections.push(this.createConnection("default")); } await Promise.all(connections); } private async evictLeastUsedConnection(): Promise<void> { let oldestConn: PooledConnection | null = null; let oldestTime = Date.now(); for (const conn of this.pool.values()) { if (conn.lastUsed < oldestTime) { oldestTime = conn.lastUsed; oldestConn = conn; } } if (oldestConn) { await this.removeConnection(oldestConn.id); } } private findAvailableConnection(endpoint: string): PooledConnection | null { for (const conn of this.pool.values()) { if ( conn.isHealthy && conn.connection.endpoint === endpoint && Date.now() - conn.lastUsed < this.config.idleTimeoutMs ) { return conn; } } return null; } } ``` ## Fast Tool Registry ### O(1) Tool Lookup Implementation ```typescript // src/core/mcp/fast-tool-registry.ts interface ToolIndexEntry { name: string; handler: ToolHandler; metadata: ToolMetadata; usageCount: number; avgLatencyMs: number; } export class FastToolRegistry { private toolIndex: Map<string, ToolIndexEntry> = new Map(); private categoryIndex: Map<string, string[]> = new Map(); private fuzzyMatcher: FuzzyMatcher; private cache: LRUCache<string, ToolIndexEntry>; constructor(indexType: "hash" | "trie" = "hash") { this.fuzzyMatcher = new FuzzyMatcher(); this.cache = new LRUCache<string, ToolIndexEntry>(1000); // Cache 1000 most used tools } async buildIndex(): Promise<void> { const start = performance.now(); // Load all available tools const tools = await this.loadAllTools(); // Build hash index for O(1) lookup for (const tool of tools) { const entry: ToolIndexEntry = { name: tool.name, handler: tool.handler, metadata: tool.metadata, usageCount: 0, avgLatencyMs: 0, }; this.toolIndex.set(tool.name, entry); // Build category index const category = tool.metadata.category || "general"; if (!this.categoryIndex.has(category)) { this.categoryIndex.set(category, []); } this.categoryIndex.get(category)!.push(tool.name); } // Build fuzzy search index await this.fuzzyMatcher.buildIndex(tools.map((t) => t.name)); console.log( `Tool index built in ${(performance.now() - start).toFixed(2)}ms for ${tools.length} tools`, ); } findTool(name: string): ToolIndexEntry | null { // Try cache first const cached = this.cache.get(name); if (cached) return cached; // Try exact match const exact = this.toolIndex.get(name); if (exact) { this.cache.set(name, exact); return exact; } // Try fuzzy match const fuzzyMatches = this.fuzzyMatcher.search(name, 1); if (fuzzyMatches.length > 0) { const match = this.toolIndex.get(fuzzyMatches[0]); if (match) { this.cache.set(name, match); return match; } } return null; } findToolsByCategory(category: string): ToolIndexEntry[] { const toolNames = this.categoryIndex.get(category) || []; return toolNames .map((name) => this.toolIndex.get(name)) .filter((entry) => entry !== undefined) as ToolIndexEntry[]; } getMostUsedTools(limit: number = 10): ToolIndexEntry[] { return Array.from(this.toolIndex.values()) .sort((a, b) => b.usageCount - a.usageCount) .slice(0, limit); } recordToolUsage(toolName: string, latencyMs: number): void { const entry = this.toolIndex.get(toolName); if (entry) { entry.usageCount++; // Moving average for latency entry.avgLatencyMs = (entry.avgLatencyMs + latencyMs) / 2; } } } ``` ## Load Balancing & Request Distribution ### Intelligent Load Balancer ```typescript // src/core/mcp/load-balancer.ts interface ServerInstance { id: string; endpoint: string; load: number; responseTime: number; isHealthy: boolean; maxConnections: number; currentConnections: number; } export class MCPLoadBalancer { private servers: Map<string, ServerInstance> = new Map(); private routingStrategy: RoutingStrategy = "least-connections"; addServer(server: ServerInstance): void { this.servers.set(server.id, server); } selectServer(toolCategory?: string): ServerInstance | null { const healthyServers = Array.from(this.servers.values()).filter( (server) => server.isHealthy, ); if (healthyServers.length === 0) return null; switch (this.routingStrategy) { case "round-robin": return this.roundRobinSelection(healthyServers); case "least-connections": return this.leastConnectionsSelection(healthyServers); case "response-time": return this.responseTimeSelection(healthyServers); case "weighted": return this.weightedSelection(healthyServers, toolCategory); default: return healthyServers[0]; } } private leastConnectionsSelection(servers: ServerInstance[]): ServerInstance { return servers.reduce((least, current) => current.currentConnections < least.currentConnections ? current : least, ); } private responseTimeSelection(servers: ServerInstance[]): ServerInstance { return servers.reduce((fastest, current) => current.responseTime < fastest.responseTime ? current : fastest, ); } private weightedSelection( servers: ServerInstance[], category?: string, ): ServerInstance { // Prefer servers with lower load and better response time const scored = servers.map((server) => ({ server, score: this.calculateServerScore(server, category), })); scored.sort((a, b) => b.score - a.score); return scored[0].server; } private calculateServerScore( server: ServerInstance, category?: string, ): number { const loadFactor = 1 - server.currentConnections / server.maxConnections; const responseFactor = 1 / (server.responseTime + 1); const categoryBonus = this.getCategoryBonus(server, category); return loadFactor * 0.4 + responseFactor * 0.4 + categoryBonus * 0.2; } updateServerMetrics( serverId: string, metrics: Partial<ServerInstance>, ): void { const server = this.servers.get(serverId); if (server) { Object.assign(server, metrics); } } } ``` ## Transport Layer Optimization ### High-Performance Transport ```typescript // src/core/mcp/optimized-transport.ts export class OptimizedTransport { private compression: boolean = true; private batching: boolean = true; private batchBuffer: MCPMessage[] = []; private batchTimeout: NodeJS.Timeout | null = null; constructor(private config: TransportConfig) {} async send(message: MCPMessage): Promise<void> { if (this.batching && this.canBatch(message)) { this.addToBatch(message); return; } await this.sendImmediate(message); } private async sendImmediate(message: MCPMessage): Promise<void> { const start = performance.now(); // Compress if enabled const payload = this.compression ? await this.compress(message) : message; // Send through transport await this.transport.send(payload); // Record metrics this.recordLatency(performance.now() - start); } private addToBatch(message: MCPMessage): void { this.batchBuffer.push(message); // Start batch timeout if not already running if (!this.batchTimeout) { this.batchTimeout = setTimeout( () => this.flushBatch(), this.config.batchTimeoutMs || 10, ); } // Flush if batch is full if (this.batchBuffer.length >= this.config.maxBatchSize) { this.flushBatch();