Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables semantic search and Retrieval Augmented Generation (RAG) over Apple Notes using AI assistants like Claude.
Leverages Thingsboard data to provide context for Large Language Model (LLM) tools.
Integrates with the Climatiq API to enable AI assistants to calculate carbon emissions for various activities.
Automates git commits on behalf of AI, enabling tracking of AI contributions in a codebase.
Empowers AI agents by providing access to indexed blockchain data from The Graph.
Manages memories programmatically with local storage, semantic search, and OpenAI embeddings.
Connects AI systems to the Stockfish chess engine via the Model Context Protocol.
Transcribes audio files to text using a speech recognition API.
Provides AI assistants with comprehensive access to your Plex Media Server for natural language interaction, queries, and management.
Integrates the AivisSpeech text-to-speech engine with AI assistants and applications for natural Japanese speech synthesis.
Integrate Sunra.ai's AI model deployment and running capabilities into applications across multiple programming languages.
Provides an MCP server interface, enabling large language models to interact with Hydrolix clusters for executing SQL queries and introspecting database schemas.
Generates images using Google's Gemini API, integrating advanced image generation capabilities with various AI models via an MCP server.
Enables AI models and CLI tools to connect with and manage Jupyter Notebooks for interactive data analysis and machine learning.
Provides intelligent code analysis, validation, and documentation for Zig, leveraging a fine-tuned LLM and the official Zig compiler.
Integrates the Get Notes API into an MCP server, enabling AI-powered search and raw recall of knowledge from personal knowledge bases.
Automate Elgato Stream Deck configuration and control through natural language commands and AI.
Enables AI agents to efficiently extract text, search, and analyze PDF documents using intelligent caching and the Model Context Protocol.
Empower end-users to run powerful, AI-guided workflows as a local-first desktop application with reproducible environments.
Performs cursor-style semantic code search as a Claude Code plugin, significantly reducing token usage for codebase queries.
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