data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9012개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Generates images from text prompts using the Replicate API and a Model Context Protocol server.
Enables LLMs to retrieve and process content from web pages by converting HTML to markdown.
Enables LLMs to perform internet research with real-time information and source citations using the Perplexity API.
Retrieves historical climate and meteorological data from the AEMET API for use with MCP-compatible clients.
Exposes Indian stock market data through a local Model Context Protocol (MCP) server.
Provides a mathematical optimization server leveraging PuLP and OR-Tools.
Enables large language models to seamlessly interact with MediaWiki installations as a bot user via the MediaWiki API.
Integrates a continuous, background cognitive processing system that enables AI models to think between conversations.
Enables AI clients to control Digital Dream Labs and Anki Cozmo robots by acting as a Model Context Protocol (MCP) server.
Provides a versatile MCP server offering practical tools for ML engineering workflows, including local and remote code execution, file management, remote GPU integration, and an LLM proxy.
Enhances LLM agent capabilities with semantic code search, structural code views, and an intelligent workspace TUI for efficient context management.
Provides a server for searching and exploring Swift Package Manager dependencies within Xcode and SPM projects.
Empowers AI with autonomous hardware control for proactive, physiological, and boundary-aware interactions using Lovense devices.
Enhance Apple Notes with semantic search and full CRUD operations, integrating natural language management via MCP clients.
Centralizes Model Context Protocol (MCP) server management, routing client requests, and enforcing fine-grained access control across multiple backend servers through a unified interface.
Provides AI agents with a persistent, reinforcement-learning-powered memory system for continuous improvement.
Provides access to the Central Bank of Brazil's (BCB/SGS) time series data, including economic and financial indicators, via the Model Context Protocol.
Empower large language models to conduct autonomous red teaming and internal network penetration testing.
Provides persistent AI memory and context recall for conversations within the Zed editor using advanced semantic search.
Converts scientific PDFs into highly accurate Markdown, preserving complex mathematical equations and document structure for agent-based workflows.
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