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。8922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 DuckDuckGo search capabilities into Large Language Models via the Model Context Protocol.
Enables interaction with the TON Blockchain, facilitating operations like sending transactions and checking balances.
Provides access to Moldova's public procurement data through the MTender API, adhering to the Open Contracting Data Standard (OCDS).
Fetches real-time cryptocurrency data from the OKX exchange for use with AI assistants.
Empowers AI agents to interact with and observe trackio experiment tracking through the Model Context Protocol.
Accelerates HuggingFace model downloads and integrates them into various AI development clients.
Connects Celery distributed task queues with the Model Context Protocol, enabling advanced task management and AI integration.
Facilitates natural language interaction with MySQL databases through the Model Context Protocol (MCP) and Ollama.
Exposes the Liturgical Calendar API as a structured toolset, enabling AI agents to interact with Catholic liturgical data.
Exposes AWS S3 operations through a secure Model Context Protocol (MCP) interface for AI agents and clients.
Assists developers with AI-driven tools by implementing the Model Context Protocol, offering natural language-based keyword recognition for complex tasks.
Provides GPU-accelerated speaker diarization and recognition, featuring a web interface and REST API for multi-party conversation analysis.
Provides Swiss Aare river data to AI assistants for answering questions about swimming conditions, water temperature, flow rates, and safety.
Accelerates academic research by leveraging a multi-agent AI system for rapid literature reviews, citation analysis, and hypothesis generation across thousands of papers.
Empowers AI assistants to semantically search and organize your saved bookmarks, providing a local-first, privacy-focused knowledge base.
Enhances AI assistant capabilities by providing deep contextual awareness of software projects through semantic code search and persistent memory.
Provides persistent, local-first memory for AI agents using SQLite and local embeddings, ensuring zero cloud dependencies and enhanced privacy.
Empowers AI assistants with advanced research capabilities including web search, Reddit analysis, web scraping, and multi-model synthesis.
Optimizes and serves Intervals.icu data to LLMs, reducing token consumption for efficient sports analytics and training management.
Provides a sandboxed Linux container runtime for AI agents, integrating an embedded Model Context Protocol (MCP) resolver.
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