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。10257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 read-only access to PostgreSQL databases for Large Language Models, enabling schema inspection and query execution.
Provides an enhanced Model Context Protocol server for Qdrant, enabling robust vector memory management with advanced performance and deployment features.
Leverages Google Gemini AI to provide intelligent project planning and comprehensive code review capabilities via the Model Context Protocol.
Integrates Model Context Protocol (MCP) servers with SQLite databases, enabling natural language interactions via LlamaIndex and Ollama-powered clients.
Cleans and normalizes large language model prompts, redacts sensitive information, and standardizes output formats.
Connects Large Language Models to external REST APIs via the Model Context Protocol, facilitating interaction with JSON Server and general RESTful services.
Provides persistent memory and context management for AI coding assistants, eliminating repetitive explanations and lost information.
Provides a robust WebSocket-based server for managing AI model requests and responses via the Model Control Protocol.
Exposes Power BI file analysis capabilities via the Model Context Protocol for interaction with LLM clients.
Analyzes financial data, calculates technical indicators, evaluates news sentiment, and generates trading signals for stocks and forex.
Connects ChatGPT with MetaTrader 5, enabling AI-driven execution of trading operations and comprehensive market analysis.
Enables Large Language Models to efficiently access, analyze, and extract information from STDF-V4 files used in semiconductor testing.
Provides historical and real-time financial data for stocks, indices, funds, and futures through a Model Context Protocol server.
Augment LLM agents with an intelligent agentic memory system, offering automatic note construction, dynamic updates, and semantic retrieval, integrated with popular IDEs.
Establishes a foundational AI kernel to serve as the execution, reasoning, orchestration, and governance core for domestic, enterprise, and sovereign AI systems.
Integrate RAG-powered AI chat into any website with a local, zero-cloud dependency server.
Facilitates intelligent application integration with AS400/IBM i systems.
Supplies AI agents with comprehensive agriculture and farming data including soil conditions, crop weather, climate history, and global statistics.
Provides AI agents with a persistent, shared memory, allowing operational knowledge to be exchanged across sessions, agents, projects, and teams.
Orchestrate artifact-first multi-agent workflows with dynamic form transitions and reduce AI token costs through intelligent model routing.
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