Data Science & ML MCPサーバー
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。3975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。
DroidMind
Enables AI assistants to control, debug, and analyze Android devices using natural language via the Model Context Protocol.
Voice Mode
Enables natural, human-like voice conversations for AI assistants like Claude and ChatGPT.
LlamaCloud
Enables the creation of a local MCP server using LlamaCloud to provide up-to-the-minute private information to clients like Claude.
Rhino
Connects Rhino 3D to AI Agents via the Model Context Protocol (MCP), enabling AI-assisted 3D modeling.
CoexistAI
Automates and simplifies diverse research workflows by integrating large language models with web search, social media, mapping, and code exploration.
XiYan
Enables natural language queries to retrieve data from databases by converting them into SQL.
Wire
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Code Reasoning
Enhances Claude's ability to solve complex programming tasks by enabling structured, step-by-step reasoning.
Spring AI
Enables Java and Spring applications to interact with AI models and tools through the Model Context Protocol.
Paper Search
Searches and downloads academic papers from multiple sources like arXiv, PubMed, and bioRxiv.
Easy
Simplifies the creation of Model Context Protocol (MCP) servers in TypeScript.
Documentation
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
Calculator
Extends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
OpenAI Gemini Llama Example
Demonstrates building an AI agent using the Model Context Protocol (MCP) with open LLMs like Meta Llama 3, OpenAI, or Google Gemini, and a SQLite database.
Azure AI Agent Service
Integrates with Azure AI Foundry to connect to existing Azure AI Agents, leveraging models and knowledge tools.
MongoDB Lens
Provides a local Model Context Protocol (MCP) server for interacting with MongoDB databases using natural language queries.
Tinystruct
Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Code Executor
Executes Python code from LLM prompts within a specified Conda environment.
Memento
Provides LLMs with a scalable knowledge graph memory system, enabling semantic retrieval, contextual recall, and temporal awareness.
Gdrive
Enables reading and writing to Google Drive files and Google Sheets via the Model Context Protocol.
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