data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9824개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Reads GitHub repository structure and retrieves specified files, facilitating programmatic analysis of codebases.
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
Integrates DeepSeek's language models with Model Context Protocol-compatible applications.
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
Provides practical code examples demonstrating the usage of Spring AI for various AI-related tasks.
Connects to the Strava API to provide tools for accessing fitness data through Large Language Models.
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
Empowers AI assistants with image processing capabilities such as cropping, resizing, object detection, and OCR through an MCP server.
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
Visualizes climate-related emission data sourced from ClimateTrace.org.
Indexes codebases and builds intelligent knowledge graphs for semantic search and AI-powered assistance.
Manages and semantically searches documents using AI embeddings, bridging knowledge gaps for various content types.
Provides a Streamlit-based Retrieval-Augmented Generation (RAG) client with vector search, comprehensive document management, Supabase authentication, and Model Context Protocol (MCP) integration for AI assistants.
Empowers developers to create robust, efficient, and scalable web and CLI applications using a lightweight, modular Java framework with AI integration.
Provides an LLM-friendly interface to Massive.com's comprehensive financial market data API.
Provides AI agents and applications with seamless access to Mapbox's geospatial intelligence platform through the Model Context Protocol.
Empower AI to discover and mass-produce alpha-generating quantitative trading strategies.
Indexes source code with tree-sitter, chunks it into semantic units, embeds them locally, and stores everything in a single SQLite file for vector and full-text search.
Grounds autonomous AI agents in verified, real-time knowledge at scale to prevent hallucinations and ensure accurate responses.
Orchestrates multi-agent conversations and business logic, providing intelligent routing, conversation management, and API orchestration for sophisticated AI-powered applications.
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