Discover our curated collection of MCP servers for data science & ml. Browse 7491 servers and find the perfect MCPs for your needs.
Integrates OpenAI models, RAG, search, and notes for intelligent multi-agent systems, providing a versatile platform for developers.
Enables language models to interact with external systems through a powerful tool-extensibility protocol.
Facilitates natural language querying of live PayPal data for Large Language Models through CData JDBC Drivers.
Provides a standardized way to connect AI models to different data sources and tools by implementing the Model Context Protocol.
Automates the retrieval, analysis, and storage of GitHub pull request data using the GitHub API, MongoDB, and the FastMCP framework.
Provides real-time weather information and alerts to AI assistants by integrating with the National Weather Service API.
Enables AI models to seamlessly interact with Slack workspaces through a comprehensive set of tools.
Predicts user intent, translates diagnostic reports into multiple languages, and orchestrates daily tasks with an interactive UI.
Access content from MediaWiki-based websites through the Model Context Protocol to ground AI responses.
Integrate AI agents with the entire crypto ecosystem for wallet management, trading, and multi-chain operations.
Builds and deploys a custom Model Context Protocol server on Databricks Apps, providing two LLM-callable tools for data interaction.
Integrates Airbnb search capabilities with persistent memory storage using OpenAI's vector stores within a multi-server Model Context Protocol client.
Provides natural language access and advanced filtering capabilities for the 1000 Genomes Project dataset.
Provides a lightweight vector database implementation with Model Context Protocol (MCP) server support, optimized for local LLM applications.
Provides a unified suite of MCP servers and REST APIs for accessing critical minerals and materials data from authoritative sources.
Streamline support by transforming a personal WhatsApp account into an AI-powered channel, offering a cost-effective and open-source solution.
Implements the Model Context Protocol using Spring AI to manage AI-driven context and provide utility services.
Boosts development workflows with an AI-powered GitHub command-line assistant for quicker and smarter coding.
Facilitates building, proving, and formalizing mathematical theorems and code within the Lean 4 ecosystem using Mathlib.
Orchestrates voice conversion, training, model management, and vocal separation functionalities of RVC WebUI via a unified API.
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