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.

Solon is an efficient, open, and eco - friendly Java enterprise application development framework that supports all - scenario development. It features high performance, low memory consumption, fast startup, and small - volume packaging. It is compatible with Java 8 to Java 24 and the GraalVM native runtime.

MongoDB Lens is a local MCP server that enables comprehensive operations on MongoDB databases, including querying, aggregation, and performance optimization, through interaction with LLM in natural language.

MCP - PostgreSQL - Ops is a professional MCP server for PostgreSQL database operations and monitoring. It supports PostgreSQL versions 12 - 17 and provides comprehensive database analysis, performance monitoring, and intelligent maintenance suggestions. Database management is achieved through natural language queries.

MCPBench is a framework for evaluating the performance of MCP servers. It supports the evaluation of two types of tasks: web search and database query, is compatible with local and remote servers, and mainly evaluates accuracy, latency, and token consumption.

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

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.

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

Perplexity Advanced MCP is an advanced integration package that provides enhanced query processing capabilities through OpenRouter and Perplexity API, supporting simple and complex queries, and optimizing cost and performance.

The Rust MCP SDK is a high - performance, asynchronous toolkit for building MCP (Model Context Protocol) servers and clients. It simplifies the development process, allowing developers to focus on application logic while providing powerful features and consistency guarantees.

The Umami Analytics MCP Server is a model context protocol server that enhances Claude's capabilities. It provides access to Umami website analytics data, supporting user behavior analysis and website performance tracking.

An MCP server based on Playwright and Lighthouse for website performance analysis and screenshot capture.

A high - performance MCP server that provides an efficient knowledge interface between LLMs and MongoDB, supporting small context window optimization and multiple domain data models.

A comprehensive Stacks blockchain MCP server, offering over 30 professional tools for Clarity smart contract development, SIP standard compliance, security, and performance optimization, supporting the complete dApp development process.

This project implements an MCP server and client for building intelligent agent applications based on Retrieval Augmented Generation (RAG). The server provides tools such as entity extraction, query optimization, and relevance checking, and the client demonstrates how to connect to the server and use these tools to enhance the performance of the RAG system.

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.

An MCP server for querying New Relic logs, supporting interaction with LLM models (such as Claude) via the NRQL query language, providing log query, error analysis, and performance monitoring functions.

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.

A Go-based MCP server that provides tools for analyzing Go performance profiling files (pprof), supporting multiple analysis types and output formats.

The LocaLLama MCP Server is an intelligent routing service that optimizes costs by dynamically assigning coding tasks to local LLMs or paid APIs. It includes core modules such as cost monitoring, decision engine, API integration, error handling, and performance benchmark testing, and supports integration with multiple tools.

GemSuite MCP is the most comprehensive Gemini API integration server. It provides optimal performance, lowest token cost, and seamless integration through intelligent model selection, and supports various file processing and complex tasks.

VGGT-MPS is a 3D vision reconstruction tool optimized for Apple chips, accelerated by Metal Performance Shaders. It can generate depth maps, camera poses, and 3D point clouds from single or multiple images, and supports sparse attention for city-level reconstruction.

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.

An MCP file system server optimized for WSL, which improves file operation performance through native Linux commands and supports file access and management across Windows and Linux.

The Alibaba Cloud Observable MCP Service provides a series of tools to access products such as Alibaba Cloud Log Service SLS and Application Real - time Monitoring Service ARMS. It supports functions such as natural language to query conversion, log analysis, and performance monitoring.

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.

An MCP service that provides NPM package documentation and metadata query, supporting local caching to improve performance.

Nano Agent is an experimental small engineering proxy MCP server that supports multi-provider LLM models, used to test and compare the proxy capabilities of cloud and local LLMs in terms of performance, speed, and cost. The project includes a multi-model evaluation system, a nested agent architecture, and a unified tool interface, supporting providers such as OpenAI, Anthropic, and Ollama.

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.

The MCP server of the TikTok Ads API provides functions such as advertising campaign management, performance analysis, audience management, and creative management. It supports OAuth authentication and comprehensive error handling.

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.

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.

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.