Discover our curated collection of MCP servers for data science & ml. Browse 4984servers and find the perfect MCPs for your needs.
Conducts in-depth, iterative research on any topic using AI-powered search, web scraping, and source evaluation to generate comprehensive reports.
Enables AI-powered web search through an MCP server utilizing OpenAI's o3 model.
Securely reads and extracts text, metadata, and page counts from PDF files (local or URL) for use by AI agents.
Provides financial insights and analysis to Large Language Models via a Model Context Protocol (MCP) server.
Fetches and analyzes content from Reddit, providing access to hot threads and post details.
Enhances coding context for Large Language Models and accelerates the development of AI-assisted programming applications.
Enables Large Language Models (LLMs) to interact with MongoDB databases for schema inspection and operation execution.
Enables LLM applications to perform in-depth research through the MCP protocol.
Implements strategic pattern interrupts in AI workflows to prevent cascading errors and tunnel vision.
Enables complex problem-solving by leveraging a multi-agent system for deeper analysis and coordinated task execution.
Enhances Claude Desktop's reasoning capabilities with beam search and Monte Carlo Tree Search.
Enables AI assistants to control, debug, and analyze Android devices using natural language via the Model Context Protocol.
Provides stock traders with a Model Context Protocol (MCP) server for financial analysis.
Enables AI assistants to interact with Argo CD applications and resources through natural language.
Provides access to real-time financial news, stock data, and index data via the Tushare API for language models.
Extends AI capabilities by providing a powerful interface for remote control, calculations, email operations, and knowledge search.
Empowers LLMs with real-time network traffic analysis using Wireshark's tshark.
Orchestrates strongly typed, enterprise-scale workflows with seamless AI integration and high performance.
Enables AI assistants to augment their responses with context from documentation through vector search and retrieval.
Connects Rhino 3D to AI Agents via the Model Context Protocol (MCP), enabling AI-assisted 3D modeling.
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