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。
Provides weather and stock information via Model Context Protocol (MCP).
Provides real-time financial data and calculations through a set of APIs.
Enables AI models to interact with Ethereum Layer 2 networks for deploying tokens and managing transactions.
Integrates Qdrant vector database with an MCP server to store and retrieve code snippets.
Adapts web APIs into a standardized Model Context Protocol (MCP) interface for AI systems.
Facilitates writing prompts against and querying data within the Materials Project database using a fastmcp-based interface.
Streams the latest Binance announcements to AI agents in real time, facilitating instant analysis and action.
Enables AI clients to leverage the NoLang API for real-time AI-powered video generation.
Transforms JSON data from strings or URLs into CSV format for seamless integration with spreadsheet applications.
Offers a Model Context Protocol server demonstrating a weather query tool.
Transforms natural language queries into structured story datasets by integrating Google Search results into classified Excel files.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers, integrating Mem0 for AI memory storage and retrieval.
Enables AI assistants to perform accurate unit conversions and access comprehensive reference tables for various measurement systems.
Provides a full-stack template for building AI agents using LangGraph.js on the frontend and Model Context Protocol on the backend.
Generates and validates Wirefilter WAF rules, providing contextual information and testing tools to aid LLMs.
Integrates the Famulor Voice Agent Platform with MCP-compatible clients to enable AI-powered phone calls, voice assistant management, and call data retrieval.
Provides an MCP server interface for querying and downloading datasets from the ColabFit database.
Serves AI assistants with comprehensive Magic: The Gathering data, offering card details, rules, recommendations, combo insights, and advanced deck generation capabilities.
Integrates LightRAG capabilities with AI tools via a unified MCP protocol interface.
Establishes a structured, multi-layered memory architecture for AI agents to achieve persistent, cognitive history beyond traditional flat vector storage.
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