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。7327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。
Retrieves cryptocurrency data from the Coincap API without requiring API keys or registration.
Enables LLMs to interact with and manipulate JSON data through standardized tools.
Provides a flexible memory system for AI applications, integrating with MCP-compatible applications or functioning as a direct library.
Provides mathematical and statistical functions to Large Language Models (LLMs) via a simple API.
Enables AI to perform data analysis on various database types (SQLite, MySQL, PostgreSQL, etc.) through a unified and secure connection configuration.
Empowers LLMs to maintain memory state across interactions using a neural memory system that learns and predicts sequences.
Connects to managed indexes on LlamaCloud to provide queryable tools for use with MCP clients.
Connects molecular science tools to Claude AI for prompt-assisted molecule modeling and co-scientific interaction.
Empowers AI Agents in reverse engineering and security testing within Kali Linux environments using a suite of MCP servers.
Enables AI applications to access and query databases using the Legion Query Runner with Model Context Protocol (MCP) integration.
Enables Large Language Models to interact with Python environments, execute code, and manage files.
Enables AI assistants to interact with the MetaTrader 5 trading platform for market data access and trading operations.
Leverage large language models to enhance regression analysis with Stata.
Exposes Twilio's APIs to AI assistants and other tools that support the Model Context Protocol (MCP).
Provides a Model Context Protocol (MCP) server offering a suite of tools for interacting with Google Cloud's Vertex AI Gemini models, focusing on coding assistance and query answering.
Generates production-ready Model Context Protocol (MCP) server boilerplate from OpenAPI specifications, enabling exposure of existing APIs as powerful tools for AI agents.
Provides a natural language interface for LLMs and AI agents to interact with the ThingsBoard IoT platform.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
Enables Large Language Models to interact with external tools and knowledge bases through a standardized Model Context Protocol.
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