data science & ml向けの厳選されたMCPサーバーコレクションをご覧ください。7327個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。
Provides AI assistants with a secure and structured way to explore and analyze ClickHouse databases.
Extracts embedded data and SVG components from TypeScript/JavaScript source code into structured JSON and SVG files.
Extends the context window of agents by providing memory storage and retrieval capabilities.
Browse and discover open-source AI agent and MCP orchestration tools.
Provides a modular framework for developing AGI agents using a Master Control Program (MCP) architecture.
Analyzes and visualizes complex network relationships within Active Directory environments.
Integrates Model Context Protocol (MCP) functionality into a Starlette web application using Server-Sent Events (SSE).
Enables Claude to access and utilize DeFi data from the DefiLlama API.
Provides access to real-time and historical vessel tracking data from MarineTraffic.
Provides comprehensive enterprise information query and analysis capabilities based on the MCP protocol.
Extracts text content from PDF files and images using the Mistral OCR API through an MCP server.
Connects Large Language Models to Kuzu databases, enabling schema inspection and query execution through the Model Context Protocol.
Enables AI assistants to interact with ClearML experiments, models, and projects through a lightweight Model Context Protocol server.
Provides AI agents with programmatic access to AppSignal's monitoring data, metrics, and developer tools.
Manages standardized collection operations across multiple vector database technologies for AI agents.
Facilitates secure and low-latency communication between diverse devices, robots, applications, and AI agents through a Universal Agent Protocol.
Powers AI agents with a self-hosted RAG engine, ingesting local web documents and PDFs to provide grounded context via the Model Context Protocol (MCP).
Converts documents between multiple formats, supporting bidirectional transformations and enabling AI agents to process content seamlessly.
Captures screen and voice narration to generate AI-ready structured Markdown with intelligent screenshots for developer feedback.
Manages an autonomous, self-healing knowledge core for AI agents, continuously monitoring, resolving conflicts, and distilling experience into structured rules.
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