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。8948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。
Integrates Google's Gemini model with Claude using the Model Context Protocol (MCP).
Enables querying Mollie payment data using natural language via an LLM.
Access real-time NBA odds data and AI/ML game simulations through an MCP server.
Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and analyze citations and references.
Retrieve real-time water data including stream flow, gage height, and temperature from USGS monitoring stations.
Orchestrates best-in-class language tools for multi-language code analysis and static checks across AI agents, LLMs, and automation workflows.
Demonstrates implementing Server-Sent Events (SSE) and Model Context Protocol (MCP) tooling with Spring Boot for real-time data streaming and AI integration.
Provides intelligent context management tools to help MCP clients maintain consistency in long-running AI conversations, solving LLM memory loss and intent forgetting.
Provides tools for fetching URL content and performing web searches using the Jina AI API.
Enables AI applications to access advanced memory management features through the Model Context Protocol.
Enhance FastMail email management with AI-powered features for smart analysis, organization, and contextual reply generation.
Implements an intelligent loan credit management system leveraging Spring AI's Model Context Protocol server for financial operations.
Provides temporal intelligence for AI agents through a 3-layer brain architecture managing past, present, and future contexts.
Provides enhanced semantic code search and deep context for AI coding agents with improved stability, faster synchronization, and reliable data persistence.
Assists developers with AI-driven tools by implementing the Model Context Protocol, offering natural language-based keyword recognition for complex tasks.
Provides AI-powered image recognition and description capabilities using OpenAI-compatible vision models.
Manages persistent personal knowledge through an AI-powered Graphiti knowledge graph, automatically extracting entities, relationships, and supporting semantic search for conversations and documents.
Facilitates AI agent communication by providing text-to-speech output and comprehensive Telegram notification and interaction capabilities.
Empowers AI agents with a self-evolving RAG system for autonomously managing cross-application persistent memory.
Enables an AI to autonomously play Pokémon Fire Red within the mGBA emulator, creating dynamic and personalized gameplay experiences.
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