data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 10275개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Connects a Zotero research library with AI assistants to facilitate searching and discussing research papers.
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.
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 an open-source implementation of OpenAI's ChatGPT Code interpreter, enabling users to generate and execute code through natural language prompts.
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.
Provides a secure runtime environment for fully-autonomous AI agents, designed for enterprise-grade deployment.
Unifies Model Context Protocol (MCP) and REST services, providing a central management point for AI clients and federated environments.
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.
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