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。6549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。
Renders and analyzes content from Baidu Baike (Chinese Wikipedia), extracting discussion data and providing structured insights.
Enables AI models to interact with the Trading Simulator API, allowing them to check balances, prices, and execute trades through an MCP-compatible interface.
Connects to a Shopify store and retrieves product and customer information.
Analyzes the Titanic dataset using a Model Context Protocol (MCP) server to enable data exploration and analysis with Claude.
Executes code written in OpenQASM format for quantum computations.
Enhance RSS feeds with AI to deliver personalized content and real-time monitoring.
Enables interaction with Azure AI Search indices, indexers, and data sources via an experimental MCP service.
Extracts figures, tables, captions, and section titles from scholarly PDFs with high accuracy.
Enables AI assistants to find and verify B2B email addresses using the TryKitt.ai API.
Tracks cryptocurrency prices, manages a watchlist, and exports data to Google Sheets using the Coingecko API.
Integrates AI assistants with Apollo.io's API to access and enrich sales and marketing data.
Transforms PDF documents into Markdown format utilizing a distributed multi-server architecture.
Provides comprehensive PDF processing capabilities, including advanced academic analysis and content extraction, optimized for agent understanding.
Automates Slack message fetching and processing using AI agents.
Provides a crash-safe, persistent memory for developer sessions, tracking progress, managing tasks, and maintaining context across AI development workflows.
Provides a simple Model Context Protocol (MCP) server implementation leveraging the Yupiik Fusion JSON-RPC API.
Grants LLMs comprehensive access to curated public data on the 35 most relevant companies in the Spanish stock exchange, covering market, governance, and financial insights.
Integrates enterprise tools like Jira, GitLab, and Confluence with AI agents through a unified Model Context Protocol server.
Empowers AI agents to access comprehensive UNHCR data on forcibly displaced persons through a standardized interface.
Enables lossless context restoration and session management for Large Language Models by persisting KV cache tensors.
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