data science & ml를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 9573개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to analyze codebases, calculate code quality metrics, and extract documentation via a Neo4j graph database.
Implements a Model Context Protocol (MCP) server for semantic vector search and memory management using TxtAI.
Analyze GitHub repositories, developers, and organizations with in-depth insights into the open-source ecosystem.
Provides weather information in the US via the Model Context Protocol.
Integrates the OpenAlgo trading platform with AI, enabling natural language interaction for trading operations.
Execute read-only MySQL queries for AI assistants and tools using the Model Context Protocol.
Enables LLMs to efficiently interact with JSON files by splitting, merging, finding, and validating data.
Accesses SEC EDGAR data through the Model Context Protocol with real-time data streaming.
Automates GitLab CI/CD workflows using an AI-powered multi-agent system that interprets natural language commands.
Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.
Connects Google Analytics 4 data to Model Context Protocol clients like Claude Desktop, providing comprehensive analytics and reporting capabilities.
Provides persistent memory and semantic code understanding capabilities for AI assistants.
Standardizes how AI applications access tools and context by implementing the Model Context Protocol.
Access RunwayML's generative AI capabilities for video and image creation and editing.
Empowers AI programming assistants with direct, real-time access to the comprehensive MQL5 official documentation.
Binds local AI capabilities with governance protocols to create a sovereign, self-aware agent operating entirely on your machine.
Empowers AI development with persistent memory, structured specifications, and adaptive change management for building software through a Spec-Driven Development approach.
Orchestrates multi-agent AI systems for comprehensive document management, research automation, and adaptive data collection.
Empower large language models to process and understand audio by converting raw sound into structured analytical data.
Unifies AI coding tools under a local-first daemon, providing persistent sessions, contextual handoffs, and disciplined task management with robust agent orchestration.
Scroll for more results...