data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6147개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides a server interface for interacting with WolframScript, enabling programmatic evaluation of Wolfram Language code and retrieval of Wolfram Engine details.
Connects AI assistants to high-resolution crypto market data for real-time analysis of volatility, correlations, volume anomalies, and mining risks.
Enables chat completion requests with citations from the Perplexity API.
Orchestrates enterprise-grade distributed AI development workflows, providing an intelligent coding agent platform.
Provides a lightweight vector store with TF-IDF search capabilities for various document types.
Integrates AI models like ChatGPT and Claude with real-time Indian stock market data for comprehensive financial analysis.
Provides a curated collection of practical AI and LLM examples using various frameworks and tools.
Generates book recommendations via a Node.js-based Model Context Protocol (MCP) server, designed for extensibility and integration with external APIs.
Provides weather information via the National Weather Service (NWS) API using the Model Context Protocol.
Adapts existing web APIs into a standardized Model Context Protocol (MCP) interface for structured and consistent AI access.
Provides programmatic access to the Hugging Face Hub API for querying models, datasets, and their associated metadata.
Enables large language models to interact with Couchbase Sync Gateway for data management.
Provides intelligent, queryable responses about a user's professional background through a standardized Model Context Protocol server.
Bridges Large Language Models to external tools and APIs through custom Model Context Protocol (MCP) server implementations.
Provides a foundational Model Context Protocol (MCP) server implementation built with FastMCP.
Facilitates AI access to Ogury's campaign reporting API for detailed performance metrics and reports.
Enables AI assistants to query and retrieve information from PDF files containing food service standards and preparation guidelines.
Builds Model Context Protocol (MCP) servers for connecting LLMs to real-world data sources.
Enables large language models to send messages directly to Telegram groups.
Enables natural language querying of Oracle Autonomous Databases by generating SQL and performing vector searches.
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