data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8922개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Facilitates multi-language translation and text-to-speech using an MCP architecture.
Provides comprehensive sound playback capabilities for macOS, enabling AI assistants and other MCP clients to play system sounds, text-to-speech, and custom audio files.
Exposes Joplin's local REST API as Model Context Protocol tools for AI integration.
Delivers Stackpress-specific context to AI utilities for improved understanding and responses.
Indexes code repositories into PostgreSQL with pgvector for production-grade semantic code search tailored for AI coding assistants.
Offers fast, optimized access to protein structure data for querying, retrieval, and file downloading to support bioinformatics research.
Provides large language models with seamless Git repository interaction and automation capabilities through a Model Context Protocol server.
Scrapes webpages using Playwright to extract clean Markdown, designed for integration with AI chat prompts.
Obtain collective insights from multiple frontier LLMs simultaneously, featuring peer review and synthesis for complex queries.
Enhances GitHub Copilot with AI-powered media generation and local image processing capabilities for text, image, video, and audio.
Manages project backlogs using Git-native Markdown files, accessible via a web UI and an MCP endpoint for human and AI collaboration.
Invokes a single Watson Orchestrate agent remotely through a lightweight Model Context Protocol server.
Generates publication-quality scientific figures, including diagrams, charts, and maps, with structured prompts, strict editing, and automated QA validation.
Manages Claude Code configuration and enhances its cross-session memory with an intelligent Luoshu system.
Enables Large Language Model clients to discover and invoke capabilities on user-owned devices through a Supabase-hosted remote Model Context Protocol (MCP) server.
Provides an AI-native database for querying Italian legislation on data protection, cybersecurity, corporate law, and digital administration.
Exposes advanced R package development capabilities to AI assistants through natural language commands.
Provides AI agents with real-time, AI-powered sports betting analysis, including picks, odds, and injury reports for major sports leagues.
Execute code in isolated Docker containers with support for Python, Node.js, and R, ideal for AI agents.
Routes AI tasks to local Ollama models, providing private and cost-free AI capabilities directly from your machine.
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