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。8922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。
Retrieves stock market data and provides trading capabilities using the yfinance library.
Analyzes codebases using vector search and machine learning to provide intelligent insights into code patterns, architectural decisions, and documentation.
Performs financial analysis by providing access to real-time and historical stock data, along with company fundamentals.
Enables users to explore data and prototype projections within KurrentDB.
Exposes Futu API client functionalities as a Model Context Protocol (MCP) tool, enabling AI assistants to access stock data.
Empower AI coding assistants with web component information from your workspace and dependencies.
Enables LLM applications to perform real-world telephony operations such as voice calls and SMS messaging using the Vonage API.
Enables AI agents to leverage Detect It Easy for analyzing executable files via an MCP server.
Orchestrates iterative refinement of text outputs using self-critique cycles to achieve high-quality, convergent results.
Provides extensive tools, resources, and AI-assisted prompts for managing and analyzing Apache Druid clusters through the Model Context Protocol.
Provides a Model Context Protocol server for seamless integration with Sensor Tower APIs.
Transforms complex financial data into actionable intelligence through graph-based analytics and AI-powered insights.
Exposes live Blazor component metadata via a Model Context Protocol server, enabling AI-assisted code generation and analysis.
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).
Empower AI assistants with natural language access to Bauplan data lakehouse functionalities, including querying, schema inspection, and pipeline management.
Execute Robinhood trades, analyze portfolios, and get real-time market data through conversational AI.
Transforms slow PyTorch models into highly optimized CUDA/Triton kernels using automated multi-agent optimization.
Provides direct, real-time access to source code for all packages on PyPI and npm, enabling coding agents to read, search, and navigate dependencies.
Provides a shared memory bus for MCP-compatible AI agents, enabling governed context sharing, permissions, subscriptions, and optional payment flows.
Enables coding agents to perform surgical, formatting-preserving edits on existing Microsoft Word .docx files.
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