data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 8988개의 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.
Enables AI assistants to interact with the Walrus decentralized storage network for data storage and retrieval.
Integrates with the RDMS bug tracking system to enable direct reading, manipulation, and AI-powered image analysis of bug information for AI assistants.
Delivers Stackpress-specific context to AI utilities for improved understanding and responses.
Provides essential AI security guardrails, integrating with Javelin's platform to protect AI applications against various threats.
Bootstrap any OpenAPI/Swagger specification into a FastMCP-powered Model Context Protocol server, enabling AI copilots like Claude Code and Codex to call your API in minutes.
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.
Automates credit risk assessment and decision-making through an AI-driven multi-agent system, providing transparent and explainable financial solutions.
Enhances GitHub Copilot with AI-powered media generation and local image processing capabilities for text, image, video, and audio.
Invokes a single Watson Orchestrate agent remotely through a lightweight Model Context Protocol server.
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 LangGraph agent patterns, code snippets, and best practices for AI assistants.
Exposes advanced R package development capabilities to AI assistants through natural language commands.
Execute code in isolated Docker containers with support for Python, Node.js, and R, ideal for AI agents.
Generate stunning, publication-quality charts and diagrams from natural language prompts.
Provide usage analytics and monitoring for AI agent tool calls.
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