data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7263개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Retrieves financial data using a Model Context Protocol (MCP) server, integrated with agentic frameworks.
Adapts existing web APIs into a standardized Model Context Protocol (MCP) interface for structured and consistent AI access.
Enables connecting SingleStore data to Claude Desktop through CData JDBC Drivers.
Enables AI clients to query live Act CRM data via a Model Context Protocol interface, leveraging CData JDBC Drivers.
Provides tools for querying, inserting, updating, and deleting tax alert data in a database, dynamically triggered by an AI agent.
Provides file and directory tools for LLMs and coding agents to quickly get project context, supporting Gitignore patterns and various project information resources.
Provides a minimal MCP tool server with weather and greeting functionalities, integrated with a LangChain agent for dynamic tool discovery.
Empowers LLM agents to manage and automate ETL workflows across Airflow, AWS Glue, Athena, and S3 using natural language commands.
Facilitates AI-powered chat about personal resumes and enables email notifications, ideal for job interviews and demonstrating Model Context Protocol capabilities.
Integrates VOICEVOX speech synthesis and speaker management capabilities via an MCP server.
Manages and executes Python scripts, leveraging LLMs to automatically extract and validate argument schemas for intelligent automation.
Enables Model Context Protocol (MCP) communication for B4J applications via standard I/O.
Streamlines data science workflows by combining Large Language Models with the Model Context Protocol for AI-powered data analysis and processing.
Integrates conversational AI with warehouse-native analytics, enabling natural language querying and exploration of data warehouses.
Empowers AI agents to perform high-dimensional data analysis using advanced Cayley-Dickson and Clifford algebras for complex pattern detection and structural insights.
Facilitates multi-query web searches and dynamic page scraping, optimizing results for LLMs using TOON encoding.
Enables AI agents to access comprehensive Twitter/X data, including user profiles, tweets, trends, and communities, via the Model Context Protocol.
Extracts clean, LLM-ready markdown from any URL, including Cloudflare-protected sites, functioning as an effective web scraping server.
Reads and formats system clipboard content for AI models, preserving structure for tables and applying smart formatting for other types.
Detects and evaluates compliance with EU AI Act requirements in codebases through static analysis.
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