Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.

An AI-based NPM package analysis MCP server that provides real-time security scanning, dependency analysis, performance evaluation, and other functions. It integrates Claude and Anthropic AI technologies to optimize the management of the npm ecosystem.

A serverless YouTube subtitle extraction service based on Cloudflare Workers, using the MCP protocol to achieve high - performance AI assistant integration

NPM Sentinel MCP is an AI-based NPM package analysis server that provides real-time security scanning, dependency analysis, performance evaluation, etc. It supports integration with Claude and Anthropic AI to optimize NPM ecosystem management.

A high - performance Model Context Protocol (MCP) server for integrating Notion into AI workflows.

This project implements AI intelligent optimization of Spark code through the MCP protocol, providing code optimization suggestions and performance analysis services.

A high - performance Trino MCP server implemented in Go, supporting AI assistants to interact with Trino's distributed SQL query engine through standardized MCP tools.

This project is a server based on the Model Context Protocol (MCP), specifically designed to interact with the Amazon Redshift database. It securely connects through the AWS Data API, provides functions such as database structure query, data retrieval, and performance analysis, and supports integration with AI tools such as Claude and Cursor.

The Yandex Tracker MCP Server is a Model Context Protocol service that enables AI assistants to interact with the Yandex Tracker API, supporting queue management, user management, issue operations, and advanced search functions, and providing secure authentication access and performance caching.

This project implements a read-only MCP server for the Notion API, focusing on providing efficient content query and retrieval functions for AI assistants. Through optimization measures such as streamlining the toolset, parallel processing, and automatic content exploration, it significantly improves performance and solves the problem of the limited number of AI assistant tools.

The Obsidian Semantic MCP Server is an AI - optimized knowledge management tool that integrates more than 20 functions through 5 semantic operations, providing intelligent workflow suggestions and context - aware editing functions. The project has been upgraded to a native Obsidian plugin, providing better performance.

Meta Ads MCP is a server based on the Model Context Protocol, used to interact with the Meta Advertising API through a standardized interface, enabling AI models to access, analyze, and manage Meta advertising campaigns, including obtaining performance data, visualizing advertising creativity, and providing strategic suggestions.

A Ruby-based AI pair programming MCP server that provides AI-assisted programming functions such as code review, brainstorming, performance analysis, and security check through OpenRouter.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

The FAL Image and Video MCP Server is a high - performance MCP protocol server specifically designed for image and video generation in FAL AI, supporting automatic download to local machines. It provides public URLs, data URLs, and local file paths, suitable for MCP - compatible clients such as Claude.

An MCP server that provides Google PageSpeed Insights analysis, helping AI models analyze web page performance through a standardized interface.

The AI Agent Marketplace Index Search MCP Server provides the function of searching for AI agents by keyword or category, supports monitoring agent performance indicators, and provides API access services.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis capabilities.

League of Legends Mock Match Predictor, providing summoner analysis based on historical data and AI-driven 10-phase match simulation, supporting multi-language and performance comparison.

The Tailpipe MCP server is an AI - driven log analysis tool that connects AI assistants with cloud/SaaS log data through the model context protocol. It supports natural language queries and analysis of various cloud service logs, and provides functions such as security incident investigation and cost - performance insights.

Unity Code MCP is a high - performance MCP server built on Rust, designed for AI agents to independently write Unity code, providing lightweight and efficient compilation feedback and test execution capabilities.

This project is an improved version based on UnityMCP, focusing on AI-assisted development of VRChat worlds. It provides enhanced command execution, editor integration, script testing, and performance optimization features, and specifically supports UdonSharp script generation.

The Gemini CLI Orchestrator is a multi-step code analysis tool based on Google Gemini AI. It guides developers through a systematic analysis via a structured workflow rather than replacing human thinking. It offers four core functions: analysis planning, prompt optimization, iterative analysis, and result synthesis, and is suitable for complex scenarios such as security audits and performance optimization.

The Universal Documentation MCP Server is a high - performance MCP server that can transform any documentation website into an AI - accessible knowledge base. It supports multiple platforms such as GitBook, Vercel Documentation, and Next.js sites, and has features such as instant startup, intelligent caching, and automatic domain name detection.

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), offering dozens of powerful tool capabilities, including cognitive enhancement, tool usage, and intelligent orchestration. The system exposes functions through standardized MCP tools, enabling advanced AI agents to access a rich tool ecosystem and specialized services while optimizing costs, performance, and quality.

mcp - server - webcrawl is an advanced web crawler data search and retrieval tool designed specifically for AI clients. It supports multiple crawler formats (such as WARC, wget, etc.), provides full - text search, Boolean logic queries, and resource type/status filtering functions. It can be seamlessly integrated with Claude Desktop, is installed via Python, and is suitable for tasks such as building website knowledge bases or conducting SEO/performance audits.

An MCP server that connects AI assistants with HubSpot CRM data, providing access to contact, company, and interaction data. Built - in vector storage and caching mechanisms optimize performance.

Scout Monitoring MCP is a locally running MCP server that allows AI assistants to access Scout application performance monitoring data through Docker images, including error tracking, performance metrics, and code-level analysis, helping AI directly fix performance issues in the code.

The Mandoline MCP Server is an AI assistant evaluation framework that provides tools for creating custom evaluation metrics, batch scoring, and performance analysis for AI assistants such as Claude and Cursor through the Model Context Protocol, helping AI continuously improve its own performance.

The MCP Internet Speed Test is an experimental project that provides network performance testing tools for AI models through the standardized MCP protocol, including functions such as download/upload speed, latency, and jitter measurement.

MyMCP is a Python-based application that supports parallel execution of multiple AI coding tasks through the Aider tool, providing options for parallel/sequential execution, detailed reports, and performance comparison functions.

The OpenRouter MCP Server provides seamless integration with the OpenRouter.ai model ecosystem, supporting access to multiple AI models and performance optimization.

CryptoWeather AI Bitcoin Signal is an AI service that provides real - time bitcoin price predictions through the Model Context Protocol (MCP). It includes functions such as trading advice, performance metrics, and signal analysis, and updates data every hour.

The PageSpeed MCP Server is a bridge that connects AI assistants with the Google PageSpeed Insights API, providing website performance analysis functions for AI models, including core performance indicators, SEO evaluation, accessibility audits, and resource optimization suggestions.

LLM Gateway is a server based on the MCP protocol that supports advanced AI agents (such as Claude 3.7) to intelligently delegate tasks to lower - cost LLM models (such as Gemini Flash), achieving cost optimization and performance balance.

An MCP service that automatically optimizes AI prompts based on evolutionary algorithms, iteratively improving prompt performance through genetic algorithms

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables in-depth interaction between AI and the browser through a Chrome extension and a local Node server. It supports multi-dimensional audits such as performance, SEO, and accessibility and is compatible with multiple MCP clients.

BrowserTools MCP is a powerful browser monitoring and interaction tool that realizes AI-driven browser data capture and analysis through a Chrome extension. It supports various audit functions such as accessibility, performance, and SEO, and seamlessly integrates with MCP-compatible clients.

A service based on the Model Context Protocol that provides Google PageSpeed Insights web page performance analysis functions, enabling AI models to evaluate web page loading performance through standardized interfaces.