data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6274개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables control and monitoring of IoT devices and persistent memory management via the Model Context Protocol.
Enables LLMs to perform internet research with real-time information and source citations using the Perplexity API.
Develop Model Context Protocol (MCP) servers for AI platforms using Scala 3 and ZIO.
Demonstrates Spring AI's integration with Model Context Protocol (MCP) for building Spring Boot applications with server and client functionalities.
Provides tools to access and interact with the police.uk API for crime data and related information.
Enables AI models to interact with FalkorDB graph databases using natural language queries and commands.
Analyzes personalities and matches individuals to job descriptions using traits stored in SQLite databases.
Provides access to real-time and historical Indian stock data using the Yahoo Finance API.
Aggregates live governance proposals from major DAOs, enabling real-time tracking and analysis of decentralized decision-making.
Provides a minimal template for creating Model Context Protocol (MCP) servers using the Python SDK.
Incentivizes AI developer communities through a Solana-based protocol focused on knowledge sharing and Model Context Protocol (MCP) integration.
Provides a server for creating and managing terminal sessions, enabling AI agents to interact with terminal environments programmatically.
Provides a unified Model Context Protocol (MCP) interface for multi-provider web search, maximizing available search capacity for automation and AI workflows.
Enables Large Language Models (LLMs) to find Agoda hotel reviews.
Demonstrates how Claude AI can be integrated into Java EE development workflows using the Model Context Protocol (MCP).
Streamlines document processing, enabling OCR, classification, and structured data extraction through AI models.
Builds AI-native risk intelligence systems.
Provides AI agents with real-time and historical financial data from Yahoo Finance through a FastMCP v2 server.
Manages various types of sources and integrates them with knowledge graphs for enhanced research and learning.
Provides a Model Context Protocol server to access X-ray properties of elements.
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