data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 7327개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Search the New York Times archive for articles from the last 30 days based on a keyword.
Provides comprehensive document processing capabilities via a Model Context Protocol (MCP) server.
Automates web search, document analysis, and information gathering using agent-based technology.
Provides a standardized interface for interacting with Spiral's language models via a Model Context Protocol (MCP) server.
Enables AI models and agentic applications to interact with Apache Kafka for message publishing and consumption.
Provides real-time cryptocurrency market data to Claude Desktop using the CoinGecko API.
Connects LangChain.js-compatible LLMs with MCP servers for building flexible AI agents with dynamic tool access and multi-server support.
Automates coding workflows using AI assistants guided by a Neo4j knowledge graph.
Integrates Extend APIs with AI frameworks like Anthropic's MCP, OpenAI, LangChain, and CrewAI.
Provides structured API access to baseball statistics from various sources.
Transforms AI assistants into U.S. Census data experts, enabling natural language queries for accurate demographic information with proper interpretation and context.
Integrates Sourcegraph's code search capabilities into an AI-enhanced Model Context Protocol server.
Enables AI agents to access Israel's comprehensive pharmaceutical database from the Ministry of Health, providing evidence-based medication guidance and therapeutic recommendations.
Automate GNS3 network topology creation, management, and simulation using AI-powered natural language commands.
Enables Claude Desktop to perform AI-powered semantic search and understanding of your codebase using Google's Gemini embeddings and Qdrant Cloud vector storage.
Integrates the OpenCage geocoding API into large language models, enabling address-to-coordinate and coordinate-to-address conversions.
Provides a high-performance, persistent, semantic, and graph-based memory server for AI agents.
Enables AI agents to evaluate Common Lisp code within a persistent, stateful REPL session over the Model Context Protocol.
Empowers AI coding assistants with semantic code search and contextual knowledge across all your repositories.
Triangulates customer support tickets and feature requests to help product managers decide what to build next.
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