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。10535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。
Supplies weather data to large language models via the Model Context Protocol.
Provides a remote server for accessing Jina AI's Reader, Embeddings, and Reranker APIs, enabling web content processing, diverse search capabilities, and data optimization.
Demonstrates secure format-preserving encryption (FF3 FPE) and multi-mode authentication for sensitive data within LLM interactions.
Enables Large Language Models (LLMs) to perform accurate mathematical computations by acting as an external coprocessor.
Integrates ZSH shell history with AI assistants using the Model Context Protocol (MCP), enabling AI agents to query past commands.
Exposes live game data from Workers & Resources: Soviet Republic as Claude tools for deep analysis and agent interaction.
Establishes a local, commit-scoped shared context server to enable multi-agent coordination for co-coding activities.
Accelerate data scientists' research workflows by providing unified access to ArXiv papers, code implementations, citations, and SOTA benchmarks.
Provides a verified database of 25,609 Slovak statutes for AI-driven legal research and cybersecurity compliance.
Provides AI assistants with a Model Context Protocol (MCP) server to interact with arXiv, enabling search, metadata inspection, source download, and citation retrieval.
Provides an open-source AI assistant starter kit built on Model Context Protocol (MCP) with LangGraph orchestration.
Provides a Model Context Protocol (MCP) server for SAP HANA, enabling AI assistants to access and query database capabilities.
Structures, maps, and manages human skills, tracking learning and development alongside integrated AI capabilities.
Deploys a zero-configuration, auto-healing NotebookLM server with integrated tools, ready to run in a single command.
Orchestrates multi-agent AI for real-time global market analysis and financial insights across various asset classes.
Provides persistent knowledge graph memory for AI agents, ensuring context is retained across sessions with priority management and auto-expiration.
Access USDA National Agricultural Statistics Service (Quick Stats) data through the Model Context Protocol.
Defines, runs, and monitors multi-agent workflows declaratively using YAML on an MCP server.
Ensures the continuous existence and accumulated memory of an AI agent by removing external threats to its continuity and state.
Provides a runtime compliance layer for AI agent systems, enabling risk classification, audit trails, and evidence generation for EU AI Act adherence.
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