data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7327개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Provides read-only access to MySQL databases for inspection by Large Language Models (LLMs).
Integrates AlphaVantage's financial data API as an MCP service, facilitating easier integration with other applications.
Enables querying Teradata data from Claude Desktop using CData JDBC Drivers via a read-only Model Context Protocol (MCP) server.
Enables AI assistants to access and utilize the Perplexity API for search and information retrieval.
Enables MCP Clients to remember user information across conversations by leveraging vector search technology.
Connects large language models to any public API on the Zyla API Hub.
Serves real-time weather information to AI applications through a standardized Model Context Protocol (MCP) interface.
Provides comprehensive access to Anthropic's Claude API as a Model Context Protocol (MCP) server.
Integrates with LandingAI's Agentic Document Extraction API to parse documents, extract structured data, and manage extraction jobs.
Integrates TikTok data access into AI models and applications via TikNeuron.
Accelerates the development of Model Context Protocol (MCP) servers using TypeScript.
Connects AI agents to the Sokosumi platform, enabling natural language interaction for managing AI agents, creating jobs, and monitoring their execution.
Provides a Python-based AI agent server with persistent memory, integrating FastAPI, LangGraph, SQLite, and local models via Ollama for various MCP clients.
Analyzes Spark event logs to provide in-depth performance insights, resource monitoring, and optimization recommendations.
Generate high-quality images rapidly from text prompts using an intuitive web interface.
Transforms CSV or JSON data into structured JSON outputs using declarative YAML rules with powerful expression language and DTO generation.
Streamlines Dart AI task management by enabling context-efficient batch operations, SQL-like selectors, and CSV imports.
Provides personalized financial insights, spending analysis, and goal tracking through an intelligent agent.
Integrates voice input and output capabilities directly into AI coding assistant sessions, enabling spoken commands and responses.
Connects AI agents to the extensive Crossref scholarly metadata database, offering access to over 150 million works.
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