V3 MCP Optimization

V3 MCP Optimization is a skill for Claude Code from ruvnet/RuView. It costs 42 tokens per session (5,059 once invoked), scanned A, original, MIT.

A performance optimization guide for MCP servers, the services that let AI applications discover and call tools.

In plain words
What is it for?
Use it to analyze MCP bottlenecks, add connection pooling and load balancing, optimize transport, and monitor response times.
Why use it?
It addresses slow startup, repeated connections, inefficient tool lookup, and unused connection resources.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to analyze MCP bottlenecks, add connection pooling and load balancing, optimize transport, and monitor response times.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ruvnet/ruview/v3-mcp-optimization
About the project

RuView is a WiFi sensing platform that uses disturbances in radio signals, captured by low-cost ESP32 sensors, to detect presence, movement, breathing, and heart rate without cameras or wearables. It is intended for spatial monitoring and smart-home integrations. The catalogue add-ons support workflows for operating and integrating RuView.

ruvnet/RuView · 99,196 stars · on GitHub · cognitum.one

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add ruvnet/RuView --skill v3-mcp-optimization
Clone the repo
git clone --depth 1 https://github.com/ruvnet/RuView

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for V3 MCP Optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/ruvnet/ruview/v3-mcp-optimization/github.svg)](https://agentmods.dev/skills/ruvnet/ruview/v3-mcp-optimization)
Your own site
<a href="https://agentmods.dev/skills/ruvnet/ruview/v3-mcp-optimization"><img src="https://agentmods.dev/badge/skills/ruvnet/ruview/v3-mcp-optimization/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for V3 MCP Optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/ruvnet/ruview/v3-mcp-optimization"><img src="https://agentmods.dev/badge/skills/ruvnet/ruview/v3-mcp-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,059 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.05059
Opus 5.5 $0.00017 $0.02024
Sonnet 5.5 $0.00008 $0.01012
Haiku 4.5 $0.00004 $0.00506

Measured 1mo ago against content hash 309969c33ee3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

V3 MCP Optimization scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.claude/skills/v3-mcp-optimization/SKILL.md · 777 lines

How it starts

The opening of the file, as written. The whole thing — 777 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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();
  }
}

Read the full file on GitHub · 777 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 777 lines · 42 tokens per session scan A 309969c33ee3

Subscribe to this mod's changes

V3 MCP Optimization is a skill published in the GitHub repository ruvnet/RuView (99,196 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 5,059 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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