data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 6531개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables the creation and management of surveys within the Claude Desktop Client by acting as an MCP server.
Enables image generation through a Model Context Protocol server compatible with OpenAI's DALL-E API.
Enables high-accuracy Japanese full-text search with local file indexing, leveraging SQLite FTS5 and SudachiPy for tokenization.
Provides AI assistants and chatbots with access to OECD's comprehensive statistical data through its SDMX API.
Automates diverse personal and professional tasks through an AI assistant interface, integrating specialized servers for a wide range of functionalities.
Safeguards sensitive information by redacting, allowlisting, and sanitizing data before it reaches large language models.
Provides large language models and agentic tools with safe, read-only access to Boston's open data portal for exploring trusted civic information.
Provides access to over 1000 economic and social indicators for more than 200 countries from World Bank Data360 via an MCP server.
Exposes Notion pages and databases as a read-only Model Context Protocol (MCP) server, enabling secure, real-time access via Server-Sent Events (SSE).
Accesses Canada's Open Government data for comprehensive dataset discovery and provides specialized querying for national transportation infrastructure information.
Orchestrates multiple MCP services by positioning Llama Maverick as the central AI brain for intelligent management and request routing.
Connects Large Language Models to various real-world applications through a modular server framework.
Provides an interface to interact with fal.ai models and services through a Model Context Protocol server.
Automates interactions with services and APIs for web browsing, financial data retrieval, and more through AI agents.
Tag and classify CSV data rows using large language models with parallel processing capabilities across multiple providers.
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
Integrate reMarkable Cloud functionalities with AI agents for document browsing, reading, and handwriting recognition.
Implements a server-side Model Context Protocol (MCP) in Go using Server-Sent Events (SSE) transport.
Retrieves relevant text chunks from PDF documents using a hybrid search approach for integration with AI agents.
Enables AI agents to query Beijing car quota lottery results by scraping data from the Beijing Transportation Commission website.
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