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

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 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.

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 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.

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.

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.

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.

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.

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

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.

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.

Agent Farm v3.4 is a system based on AI agent evolution and parallel task execution, which realizes task processing through tool - enhanced agents. The new version introduces the chunked write mode, supports the parallel generation of large documents and code files, improves performance by 8.6 times, and uses local models for result synthesis without relying on cloud tokens.

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 Ollama-MCP-server is a protocol server that connects local Ollama LLM instances with MCP-compatible applications, providing functions such as task decomposition, result evaluation, and model management, and supporting standardized communication and performance optimization.

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

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.

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 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.

The Sentry MCP server is a Model Context Protocol server for interacting with Sentry, providing tools to retrieve and analyze error data, manage projects, and monitor application performance.

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.

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.

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.

Ollama-MCP-server is a middleware server that connects the local Ollama large language model. It provides task decomposition, result evaluation, and model management functions through the Model Context Protocol, supporting standardized communication and performance optimization.

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.

The CCXT MCP Server is a high - performance cryptocurrency exchange integration service based on the Model Context Protocol (MCP) and the CCXT library. It supports connecting to more than 20 exchanges, provides unified API access to various market types such as spot and futures, and has features such as proxy configuration, cache optimization, and rate limiting.

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

The Ultimate MCP Server is an AI agent operating system based on the Model Context Protocol (MCP), providing a rich toolset and intelligent task delegation function, supporting multi-LLM provider integration, optimizing cost and performance, and automating complex workflows.

The Locust-MCP-Server is a load testing server based on the Model Context Protocol framework, supporting seamless running of Locust performance tests through an AI development environment, providing configurable test parameters and real-time execution output.

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.

OpenZIM MCP is a high - performance MCP server that enables AI models to access and search ZIM - formatted knowledge bases offline, supporting intelligent retrieval, security verification, and multi - instance management.

XiYan MCP Server is a model context protocol server based on XiYan - SQL. It supports querying databases through natural language and provides multiple model configuration options, including general large models, SOTA text - to - SQL models, and local models. It is suitable for scenarios with different security and performance requirements.

The MCP tool is a tool for managing model context in GitHub repositories, supporting version tracking, dataset management, performance recording, and documentation of training configurations.

This is a server based on the Model Context Protocol (MCP) for interacting with Audiense Demand accounts, providing tools for creating and analyzing demand reports, tracking entity performance, and obtaining cross - channel and cross - border insights.

A high - performance image processing server based on the Model Context Protocol, providing rich image processing functions such as format conversion, size adjustment, and compression optimization.

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.