Discover our curated collection of MCP servers for data science & ml. Browse 6531servers and find the perfect MCPs for your needs.
Downloads YouTube subtitles using yt-dlp and connects them to claude.ai via Model Context Protocol.
Retrieves current weather conditions and forecasts for locations worldwide via a Model Context Protocol (MCP) server.
Searches and downloads academic papers from multiple platforms, designed for integration with large language model tools.
Access live NHL game data, scores, stats, teams, and generate reports using the Model Context Protocol.
Optimizes HSY Blominmäki wastewater pumping through multi-agent forecasts, a FastAPI orchestration backend, a React operator dashboard, and digital-twin tooling.
Provides a low-latency, clustered key-value store with HTTP and WebSocket interfaces, designed for cloud-native deployment.
Exposes LangChain agent capabilities as a production-ready server via the Model Context Protocol.
Indexes Git repositories and provides intelligent hybrid semantic code search for AI agents via a self-hosted Model Context Protocol server.
Generate images using Google's Gemini 2 API through a Model Context Protocol server.
Leverages AI to enhance security operations, particularly in Red Team and Pentesting workflows.
Facilitates crossword puzzle solving by managing grid and clue data, suggesting candidate words, and validating solutions.
Extracts figures and tables from PDF documents through an HTTP interface powered by PDFFigures 2.0.
Integrate cryptocurrency payment capabilities from Bitnovo Pay into AI agents, enabling them to create and manage payments.
Automates trading on the DhanHQ platform using natural language commands and the Model Context Protocol (MCP).
Provides real-time access to the CNN Fear & Greed Index for the US stock market.
Enables AI assistants to efficiently retrieve GitHub data through GraphQL queries.
Facilitates personalized video content selection for AI by providing access to Bilibili user data and search functionalities.
Provides a secure, Docker-based environment for executing code snippets in multiple programming languages.
Provides standardized access to Bible data resources for Large Language Models using the Model Context Protocol.
Provides OpenSCAD rendering capabilities through a standardized Model Context Protocol interface.
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