Discover our curated collection of MCP servers for data science & ml. Browse 7327servers and find the perfect MCPs for your needs.
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.
Provides access to prediction market data through the PolyMarket API.
Enables AI assistants to interact with Metabase, providing access to data and analytical tools.
Generates 2D and 3D game assets from text prompts using Hugging Face AI models.
Provides authenticated access to Google Workspace APIs, offering integrated Gmail, Calendar, and Drive functionality.
Provides an interface for retrieving China stock market data based on akshare-one.
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
Enables AI agents to directly interact with and manipulate Google Sheets spreadsheets.
Provides example implementations of Model Context Protocol (MCP) Streamable HTTP client and server in Python and TypeScript.
Provides an interface for AI assistants to access and analyze financial data from Financial Modeling Prep.
Automates the generation of OpenAI plugins by defining API specifications in markdown.
Enables AI agents to store, retrieve, and semantically search through memories using vector embeddings.
Enables natural language querying and analysis of Apple Health data by LLM-based agents, using Elasticsearch for efficient indexing and retrieval.
Empower Delphi applications with advanced AI capabilities, including Retrieval-Augmented Generation (RAG), autonomous agents, and a universal LLM connector.
Provides AI assistants with deep code understanding through comprehensive code intelligence across multiple languages.
Offers a unified AI development environment providing file operations, code execution, web deployment, data processing, and image generation for comprehensive agent capabilities.
Transforms Excel workbooks into structured JSON, YAML, or TOON formats for seamless integration into LLM and RAG pipelines.
Diagnose and resolve compatibility issues within NVIDIA GPU, CUDA, and AI software stacks across local, containerized, and CI/CD environments.
Provides AI models and clients with comprehensive access to VictoriaMetrics instances, enabling seamless integration with its APIs and embedded documentation.
Scroll for more results...