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。6154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 a lightweight, MCP-compatible server built with Bun.js and Elysia for advanced AI integrations.
Provides a server interface for interacting with SAS environments, enabling metadata retrieval and code execution via `saspy`.
Facilitates agents in capturing website screenshots through a dedicated server.
Builds Model Context Protocol (MCP) servers for connecting LLMs to real-world data sources.
A multi-agent NLP system analyzes, summarizes, and compares insurance policy documents, enabling intelligent document understanding, semantic search, and comparative analysis between Tunisian and international insurance standards.
Analyze any dataset using natural language queries to derive insights.
Enhances AI capabilities by providing rich workspace context, comprehensive code analysis, and intelligent prompts.
Access Mixpanel analytics data, including events, retention, funnels, and cohorts, through natural language conversations with Claude.
Orchestrates and schedules custom pipelines with agentic AI support, providing a GraphQL API and a client-side UI.
Connects Claude to custom SQL databases for real-time query and interaction, acting as a Model Context Protocol (MCP) desktop extension.
Empower auto repair shops to query their Tekmetric data using natural language for immediate insights into appointments, customers, and repair orders.
Integrates Meetup.com's event discovery APIs with Anthropic's Claude LLM to enable intelligent event discovery and AI-powered recommendations.
Provides persistent, intelligent memory capabilities for AI assistants, enabling personalized and context-aware interactions.
Powers an end-to-end voice and natural language product search with an AI chat assistant.
Optimize retrieval-augmented generation systems through advanced LLM-powered methods, improving precision, reducing context size, and maintaining fast performance.
Provides AI agents with professional development guidelines, coding standards, and best practices for writing production-quality code.
Simulates financial trading scenarios using advanced agentic artificial intelligence.
Connects to Ollama models, enabling reasoning from various perspectives through an MCP server.
Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
Demonstrates building and utilizing Model-Computer Protocol (MCP) Client and Server components to facilitate an end-to-end process from user query to large model response, incorporating tool and service invocation.
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