Discover our curated collection of MCP servers for data science & ml. Browse 6531servers and find the perfect MCPs for your needs.
Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language.
Connects AI systems to real-time cryptocurrency data and trading platforms through standardized Model Context Protocol servers.
Share personal context from documents, notes, and conversations across various AI environments and applications.
Empowers AI agents to autonomously manage library installation, configuration, and usage across any programming language by treating libraries as executable programs.
Leverages AI to categorize, tag, and enhance educational course content.
Integrate Google's Gemini models into your development environment, offering advanced file upload capabilities and asynchronous batch processing.
Analyzes sentiment in textual data within MCP Server environments.
Provides AI agents with direct access to Dune Analytics data, enabling query execution, schema discovery, and saved query management.
Converts numerical data into token-efficient natural language summaries for Large Language Models.
Provides an image editing service akin to OpenAI's, allowing text-based models to interpret and manipulate images through advanced processing and AI-powered functions.
Provides sentiment analysis capabilities for Turkish language texts.
Provides intelligent AI-driven customer support capabilities by leveraging the Model Context Protocol.
Provides clarity and a new perspective on learning the German language through an AI-powered approach.
Serves as a production-ready Model Context Protocol (MCP) server for workplace safety knowledge bases, leveraging Azure AI Search and GPT-4o for enhanced Q&A.
Monitors real-time cryptocurrency prices using local AI models, automates database updates, and enables natural language interaction with market data via a FastMCP server.
Empowers AI with autonomous hardware control for proactive, physiological, and boundary-aware interactions using Lovense devices.
Demonstrates a Retrieval-Augmented Generation (RAG) application integrated with MCP server.
Automate complex processes leveraging AI agents, comprehensive data processing, web scraping, and multi-platform integrations with a robust N8N-based system.
Provides an all-in-one Docker deployment for the Fabric AI augmentation framework, offering a web UI, REST API, and MCP server.
Exposes Interactive Brokers Trader Workstation API functionalities as Model Context Protocol tools for seamless LLM client integration.
Scroll for more results...