data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6531개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Centralizes Model Context Protocol (MCP) servers to enhance AI capabilities.
Provides a unified Model Context Protocol (MCP) server for AI agents to seamlessly interact with multiple SQL databases including MySQL, PostgreSQL, MSSQL, DM8, and SQLite.
Facilitates remote interaction with Ollama language models directly from a VS Code client.
Integrates Perplexity AI's API into an MCP server to provide advanced search capabilities with multiple model options.
Transforms source code into a searchable knowledge graph for semantic search, dependency analysis, and AI assistant integration.
Extends language models with on-the-fly multimodal generation capabilities for images, music, and videos.
Generates high-quality videos from text prompts or images using Google's Veo 3 and Gemini APIs, featuring realistic motion and audio.
Enables AI agents with real-time web search, content extraction, and site mapping capabilities using the Tavily AI platform.
Enables AI assistants to interact with the Godot game engine, offering control over the editor, projects, and scenes.
Connects large language models with scholarly APIs to retrieve and structure citations and abstracts for trustworthy research assistance.
Enables filesystem operations using natural language commands processed by a local LLM.
Automate and validate tasks for Claude Code with a domain-agnostic system for autonomous execution and self-verification.
Integrates a self-hosted Ollama AI with VistA model context for querying patient information.
Extracts code symbols like functions, classes, and structs from codebases with surgical precision for AI assistants.
Transforms command-line and web tools into asynchronous, concurrent Model Context Protocol (MCP) AI agents, enabling faster, multi-threaded AI workflows.
Accesses the Japanese National Diet Library's Kokkai Minutes API through a Model Context Protocol (MCP) agent.
Enables querying live Splunk data from Large Language Models (LLMs) using natural language through a Model Context Protocol (MCP) interface.
Converts between JSON and TOON data formats to optimize token usage for large language models.
Enables AI assistants to generate and control real-time audio synthesis through natural language descriptions using SuperCollider.
Enables querying live Salesforce Data Cloud data from Large Language Models (LLMs) like Claude Desktop via a Model Context Protocol (MCP) interface.
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