data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9201개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Generates images from text descriptions using OpenAI's DALL-E API, demonstrating how to build MCP tools for Large Language Models.
Analyzes YouTube videos by extracting transcripts, summarizing content, and answering questions using AI.
Enables interaction with Powerdrill datasets through natural language using a Model Context Protocol (MCP) server.
Enables AI applications to interact with decentralized storage through a standardized interface.
Provides read-only access to MySQL databases for LLMs via the Model Context Protocol.
Enables single-cell RNA sequencing analysis using natural language commands.
Connects to the Daisys AI platform for use with MCP clients.
Empowers AI Agents to interact with OpenSearch using a standardized and extensible interface.
Enables AI assistants to search and query Cloudflare AutoRAG knowledge bases using various search methods.
Connects AI models with external tools and data sources through a standardized protocol.
Establishes a robust foundation for building Model Context Protocol (MCP) servers, primarily for UI libraries and component registries.
Provides AI assistants with access to editor Local History for AI-powered data recovery and enhanced context awareness.
Enables semantic codebase search and file retrieval through embeddings and a PostgreSQL database.
Provides AI-powered applications with structured access to integration packages and artifacts within SAP Cloud Integration tenants.
Enables Claude Desktop to interact with a local ComfyUI installation for AI-powered image generation.
Provides AI coding agents with persistent, local memory and automatic context surfacing using semantic search.
Provides universal, persistent memory for AI models across various platforms using the Model Context Protocol.
Provides AI agents with a comprehensive interface to interact with a local Zotero library for research paper management and information retrieval.
Integrates AI assistants with comprehensive US legal data, including case law, practice management, and court filings.
Orchestrates multiple Large Language Models to deliberate, debate, and synthesize responses through structured protocols.
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