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Analyzes webpage performance using Google PageSpeed Insights, providing detailed metrics and improvement suggestions.
Tracks workouts, nutrition, and daily journal entries, providing AI-assisted analysis for personal well-being.
Enables integration between KoboldAI's text generation and applications compatible with the Model Context Protocol (MCP).
Enables Large Language Models (LLMs) to interact with Ansible Tower.
Enables AI models to interact with and manipulate Apple Calendar data on macOS.
Enables AI assistants to perform web searches using Perplexity's chat completions API.
Connects AI models to the Pollinations.ai service using the Model Context Protocol to generate images and text.
Generates Vue 3 components from Figma designs, adhering to Hostinger's design system.
Searches and retrieves images from Wikipedia Commons, ensuring adherence to Creative Commons licenses.
Exposes the Kubernetes API via the Model Context Protocol (MCP).
Enables AI assistants to interact with Foundry datasets, ontology objects, and functions using the Model Context Protocol.
Provides a Model Control Protocol (MCP) server for managing Hugo static site generator.
Retrieves real-time product and price data from Mercari Japan for LLM analysis.
Connects Google Search Console data to Claude Desktop for advanced SEO analysis and reporting.
Provides atomistic simulation capabilities through ASE, pymatgen, and machine learning interatomic potentials.
Provides a comprehensive interface for Browserless.io browser automation capabilities through Model Context Protocol (MCP) tools.
Empower AI assistants to search and book flights directly through the Kiwi.com engine.
Enables large language models to interact with Sidekiq queues, statistics, and failed jobs through a standardized API.
Integrates AI assistants with Qlik Sense applications, providing comprehensive access to detailed Qlik data through a Model Context Protocol server.
Provides agentic search capabilities with support for vector search using Qdrant, full-text search using TiDB, or both combined within a Model Context Protocol (MCP) server.
Integrates Tencent Cloud services with AI applications for enhanced cloud-native development, infrastructure management, and AI-assisted workflows.
Integrates various state-of-the-art AI models for image generation into an MCP server.
Automate core interactions with Xiaohongshu, including login, content publishing, searching, commenting, and user profile retrieval, via standardized interfaces for AI Agents.
Reduces medical hallucinations and enhances clinical accuracy in radiology multimodal large language models.
Enables external clients to execute SAS code and retrieve results within SAS Viya environments using the Model Context Protocol.
Aggregates multiple MCP servers to streamline AI agent code execution, significantly reducing token usage, improving speed, and preventing hallucinations.
Orchestrate ephemeral environments on the Shipyard platform directly from your terminal or through AI agents.
Provides a lightweight debugger for learning and experimentation with Windows executables, integrated with an MCP server for AI-driven control.
Provides a remote server and REST API for high-throughput crawling of fresh posts across numerous X (Twitter) usernames.
Provides remote access to ChromaDB, enabling AI assistants like Claude to perform semantic search and vector database operations from various devices.
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