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。8922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 Strava API with the Model Context Protocol SDK for training analysis and recommendations.
Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.
Provides a basic implementation of a Model Context Protocol server for educational purposes.
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Automates user sign-ups and data management through an intelligent, conversational AI interface.
Delivers a highly engineered retrieval-augmented generation system supporting diverse knowledge base search modalities.
Enables AI assistants to search and retrieve information about people, companies, and other entities from the Orca AI HUNT Platform API.
Orchestrates multiple MCP services by positioning Llama Maverick as the central AI brain for intelligent management and request routing.
Enables AI assistants to manage Raindrop.io bookmarks, collections, and tags via the Model Context Protocol.
Exposes weather and air quality services via REST endpoints and MCP for integration with language models and AI agents.
Extracts key information from mortgage documents and answers policy questions using AI-powered retrieval-augmented generation.
Coordinates multiple AI agents into a synchronized team, enabling conflict-free collaboration on complex projects.
Coordinates multiple AI agents across software development lifecycles using a deterministic server architecture.
Provides robust text-to-speech capabilities for AI agents, featuring a diverse set of voices, emotional expression, and specialized dialogue management.
Empowers AI agents to generate, edit, and manipulate images using Stability AI models on AWS Bedrock.
Access World Bank data effortlessly, leveraging a powerful Python client to bridge econometrics and AI for seamless analysis.
Empowers AI agents with comprehensive vehicle data, market valuations, and advanced image analysis capabilities.
Builds Model Context Protocol servers in Python, offering a framework for static and dynamic plugin integration.
Provides LLMs with structured, long-term conversational memory for accurate recall across many sessions.
Connects AI agents to the Hyperliquid platform, providing direct access to analytics and trading operations.
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