data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7261개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables connecting to Excel Online data from Claude Desktop through CData JDBC Drivers.
Enhances Power BI workflows by integrating AI agents and analytics for streamlined data visualization and business intelligence.
Integrates real-time weather information with a standardized context protocol for sharing environmental data across systems.
Integrates Google Search capabilities into a Model Context Protocol server for AI clients and applications.
Transforms unstructured documents into a searchable knowledge base, enabling AI-powered question answering.
Empowers AI assistants with fundamental stock technical analysis capabilities, including moving averages, RSI, and trade recommendations.
Enables natural-language interactions with GitHub repositories by bridging GitHub data with chat-based AI completion.
Translates text and GitHub issue comments between languages using OpenAI models, automating translation workflows via GitHub Actions.
Integrates Elastic Cloud Serverless with the GCP Agent Development Kit via an experimental MCP server for AI agent interaction.
Facilitates cross-browser tab grouping through a secure server and an optional machine learning microservice for enhanced organization.
Provides accurate, real-time weather forecasts enhanced by AI for effortless information gathering and travel planning.
Empowers AI assistants with real-time price comparison, deals, and product availability information for supermarkets in Argentina.
Provides AI-powered yacht and boat marketplace intelligence, integrating with the Yachtsy Agent API to offer comprehensive listings and expert sailing advice within MCP clients.
Integrates web search capabilities into an MCP server using the Tavily API.
Enables large language models to write and execute code directly on your local machine.
Enhances AI assistant responses by intercepting user queries, analyzing intent, and providing relevant context from various productivity systems.
Enables natural language building design by connecting Claude Desktop to BULC fire simulation software.
Perform Retrieval Augmented Generation (RAG) on local codebases using a raw Python implementation with support for multiple AI providers.
Transforms modern IDEs into intelligent development environments with a comprehensive suite of AI/ML-powered tools for code analysis, prediction, migration, and generation.
Provides comprehensive exercise-to-muscle mapping data for AI clients, detailing primary, secondary, and stabilizer muscle activation.
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