data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。6274個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Integrates AI assistants with your media automation tools, enabling natural language control over services like Sonarr, Radarr, and Plex.
Enables large language models to execute code using a Machine Code Protocol server.
Enables AI models to fetch blockchain data and perform various operations using Ankr's Advanced APIs.
Fetches web content for Large Language Models, bypassing robots.txt restrictions.
Enables large language models to autonomously reverse engineer applications by exposing Ghidra functionalities via a Model Context Protocol server.
Provides a Model Context Protocol server for AI tools to access and interact with the Lens Protocol ecosystem's data and functionality.
Enables AI systems to detect confusion, search for alternative conceptual framings, and achieve insight-like problem solving through a metacognitive architecture.
Enables LLMs to dynamically search and retrieve up-to-date documentation from popular AI libraries.
Empowers large language models with symbolic reasoning capabilities using Answer Set Programming and the Clingo solver.
Scrape web content with high accuracy and flexibility for AI assistants.
Retrieves the latest cybersecurity news from various websites and integrates with Claude Desktop.
Showcases practical applications of AI agents across various domains and real-world scenarios.
Connects LLM-driven music generation to digital audio workstations (DAWs) via a virtual MIDI device.
Enables Large Language Models to interact with ShotGrid directly by providing a modern Rust client and native Model Context Protocol (MCP) server.
Provides a standardized interface for interacting with model services via a RESTful API, implementing the Model Context Protocol with OpenAPI documentation.
Demonstrates Spring AI's integration with Model Context Protocol (MCP) for building Spring Boot applications with server and client functionalities.
Generate infinite-length, high-quality talking head videos from a single image and audio input.
Enables AI agents to seamlessly interact with your existing APIs.
Establishes a Zettelkasten-inspired agentic memory system for LLM agents, offering deep integration with IDE environments.
Routes medical questions and images to specialized MedGemma AI models hosted on Google Cloud's Vertex AI.
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