v3-mcp-optimization
MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.
Install
mkdir -p .claude/skills/v3-mcp-optimization && curl -L -o skill.zip "https://mcp.directory/api/skills/download/7392" && unzip -o skill.zip -d .claude/skills/v3-mcp-optimization && rm skill.zipInstalls to .claude/skills/v3-mcp-optimization
About this skill
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
# 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
// src$core$mcp$mcp-server.ts
import { Server } from '@modelcontextprotocol$sdk$server$index.js';
import { StdioServerTransport } from '@modelcontextprotocol$sdk$server$stdio.js';
interface OptimizedMCPConfig {
// Connection pooling
maxConnections: number;
idleTimeoutMs: number;
connectionReuseEnabled: boolean;
// Tool registry
toolCacheEnabled: boolean;
toolIndexType: 'hash' | 'trie';
// Performance
requestTimeoutMs: number;
batchingEnabled: boolean;
compressionEnabled: boolean;
// Monitoring
metricsEnabled: boolean;
healthCheckIntervalMs: number;
}
export class OptimizedMCPServer {
private server: Server;
private connectionPool: ConnectionPool;
private toolRegistry: FastToolRegistry;
private loadBalancer: MCPLoadBalancer;
private metrics: MCPMetrics;
constructor(config: OptimizedMCPConfig) {
this.server = new Server({
name: 'claude-flow-v3',
version: '3.0.0'
}, {
capabilities: {
tools: { listChanged: true },
resources: { subscribe: true, listChanged: true },
prompts: { listChanged: true }
}
});
this.connectionPool = new ConnectionPool(config);
this.toolRegistry = new FastToolRegistry(config.toolIndexType);
this.loadBalancer = new MCPLoadBalancer();
this.metrics = new MCPMetrics(config.metricsEnabled);
}
async start(): Promise<void> {
// Pre-warm connection pool
await this.connectionPool.preWarm();
// Pre-build tool index
await this.toolRegistry.buildIndex();
// Setup request handlers with optimizations
this.setupOptimizedHandlers();
// Start health monitoring
this.startHealthMonitoring();
// Start server
const transport = new StdioServerTransport();
await this.server.connect(transport);
this.metrics.recordStartup();
}
}
Connection Pool Implementation
Advanced Connection Pooling
// src$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
// 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 ${tools.length} tools`);
}
findTool(name: string): ToolIndexEntry | null {
// Try cache first
const cached = this.cache.get(name);
if (cached) return cached;
// Try exact match
const exact = this.toolIndex.get(name);
if (exact) {
this.cache.set(name, exact);
return exact;
}
// Try fuzzy match
const fuzzyMatches = this.fuzzyMatcher.search(name, 1);
if (fuzzyMatches.length > 0) {
const match = this.toolIndex.get(fuzzyMatches[0]);
if (match) {
this.cache.set(name, match);
return match;
}
}
return null;
}
findToolsByCategory(category: string): ToolIndexEntry[] {
const toolNames = this.categoryIndex.get(category) || [];
return toolNames
.map(name => this.toolIndex.get(name))
.filter(entry => entry !== undefined) as ToolIndexEntry[];
}
getMostUsedTools(limit: number = 10): ToolIndexEntry[] {
return Array.from(this.toolIndex.values())
.sort((a, b) => b.usageCount - a.usageCount)
.slice(0, limit);
}
recordToolUsage(toolName: string, latencyMs: number): void {
const entry = this.toolIndex.get(toolName);
if (entry) {
entry.usageCount++;
// Moving average for latency
entry.avgLatencyMs = (entry.avgLatencyMs + latencyMs) / 2;
}
}
}
Load Balancing & Request Distribution
Intelligent Load Balancer
// src$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.roundRobinSel
---
*Content truncated.*
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