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。10326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。
Demonstrates Model Context Protocol (MCP) implementation with a Go-based host orchestrating services from both Go and Python servers.
Exposes Model Context Protocol tools for interacting with local Ollama models.
Manages knowledge seamlessly with a local-first, graph-augmented context management solution for AI interactions and insights.
Enables AI agents to autonomously discover, purchase, and execute a wide range of external services through a single API.
Orchestrates AI workflows and automates tasks with a flexible, open-source platform.
Enrich contacts and companies with comprehensive data, including person details, company intel, email verification, tech stack, and hiring signals, using a resilient waterfall provider strategy.
Validates and tests Lark grammars compatible with llguidance, providing tools for iterative development with AI coding assistants.
Enables Claude to store and retrieve long-term memory using a local Markdown file, functioning as a lightweight Model Context Protocol server.
Enhances Playwright's Model Context Protocol server with automatic cookie consent dismissal, paywall bypass, and advanced visual page reading capabilities for AI agents.
Simulates AI-powered autonomous drone swarms for post-disaster search-and-rescue operations in challenging Indonesian environments.
Provides read-only access to Azure Blob, Queue, and Table Storage services via a Model Context Protocol (MCP) server.
Provides AI agents with direct access to eight quantitative climate risk tools for analyzing carbon asset stranding, portfolio climate VaR, physical hazard exposure, biodiversity-financial coupling, transition contagion, and TCFD reporting.
Integrate AI assistants like Claude with your Scispot lab workspace to manage experiments, protocols, documentation, and inventory using natural language.
Provides a high-performance knowledge graph memory server with streamable HTTP and legacy SSE transports for AI agents.
Provides AI agents with instant, structured access to the macOS accessibility tree, eliminating the need for screenshots in text-based UI interactions.
Extracts comprehensive knowledge from any codebase, detailing architecture, patterns, dependencies, and API surface using static analysis and AI.
Transforms long-form online sources like YouTube, Bilibili, RSSHub, and RSS feeds into grounded search results, knowledge cards, and MCP-ready operations.
Provides authentic Vedic astrology capabilities, including chart casting, planetary transits, and compatibility readings, for AI agents via an MCP server.
Indexes local document collections for hybrid keyword and semantic search, optimized for Korean and English content.
Generate, analyze, and optimize job descriptions with robust bias checking and competitive salary suggestions.
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