Discover our curated collection of MCP servers for data science & ml. Browse 8922 servers and find the perfect MCPs for your needs.
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.
Provides a quick start guide for programming with the Model Context Protocol (MCP) in Chinese.
Enables Java applications to interact with AI models and tools through a standardized interface.
Provides access to large language and vision-language models based on linear attention for various natural language and multimodal tasks.
Provides all-in-one infrastructure for search, recommendations, Retrieval-Augmented Generation (RAG), and analytics via API.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Empowers AI agents to access, discover, and extract real-time web data, bypassing restrictions and bot detection.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Provides a streamlined Python interface for easily interacting with AI chat models like ChatGPT and GPT-4, emphasizing efficiency and minimal code complexity.
Empower ChatGPT with long-term memory by creating custom knowledge bases from uploaded documents and retrieving relevant answers using the OpenAI and Pinecone vector database stack.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Experience AI Xiaozhi's voice and smart assistant functionalities through a versatile Python-based client, enabling access without dedicated hardware.
Unifies Model Context Protocol (MCP) and REST services, providing a central management point for AI clients and federated environments.
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
Aggregates search results from various web search services through a unified metasearch library.
Analyzes multi-language codebases, builds comprehensive knowledge graphs, and enables natural language querying and editing of code using AI.
Securely save or export your private and public Slack messages, threads, files, and user data locally without requiring administrator privileges.
Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement.
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