ruvnet/ruflo1 file

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.

Specification
Skill ID
ruvnet/ruflo/v3-mcp-optimization
Publisher
ruvnet
Repository
ruflo
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

ruvnet/ruflo/v3-mcp-optimizationInstalls these files
  • SKILL.md

What this skill tells the agent

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;

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