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 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.

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

GemSuite MCP is the most comprehensive Gemini API integration server, achieving optimal performance and lowest cost through intelligent model selection, supporting multi-file processing and complex task analysis.

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.

The OpenRouter MCP Multimodal Server is a protocol server that provides text chat and image analysis functions through OpenRouter.ai, supporting multiple model selections and performance optimization.

The Lighthouse MCP Server is a Model Context Protocol server based on Google Lighthouse, providing comprehensive website performance auditing and analysis functions, including performance scoring, accessibility checks, SEO analysis, and security assessment.

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.

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.

Vulcan File Ops is a high - performance file operation server based on the Model Context Protocol (MCP) that can transform desktop AI assistants (such as Claude Desktop, ChatGPT Desktop, etc.) into powerful development partners. It provides secure file reading and writing, batch operations, document processing, image analysis, and Shell command execution functions. It features enterprise - level security controls, dynamic directory registration, and intelligent tool filtering, allowing users to have full control over local file system access.

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.

An AI code audit server based on the local Ollama model. Through the integration of the Model Context Protocol (MCP), it provides multi - dimensional code analysis, including security, integrity, performance, quality, architecture, testing, and documentation checks.

An MCP-based NBA player data prediction tool that generates player performance predictions through real-time data analysis and statistical modeling.

The Northbeam MCP Server is a Model Context Protocol service for accessing Northbeam marketing analytics data, providing functions for querying metrics, dimensions, channel performance, cohort analysis, and attribution data.

Perfetto MCP is a model context protocol server that can convert natural language prompts into professional Perfetto trace analysis, helping developers perform performance analysis, ANR detection, CPU hotspot thread identification, lock contention analysis, and memory leak detection without writing SQL.