Discover our curated collection of MCP servers for data science & ml. Browse 8944 servers and find the perfect MCPs for your needs.
Searches for papers from the American Economic Association (AEA) using Large Language Models (LLMs).
Provides a modern, high-performance toolkit for interacting with the VK Teams Bot API.
Aggregates diverse multimedia AI models, offering a unified API and control protocol for streamlined access and utilization.
Offers an enterprise-grade AI agent service, integrating professional agents and comprehensive MCP tools.
Establishes a powerful bridge between Ollama and the Model Context Protocol (MCP), enabling seamless integration of local LLM capabilities into MCP-powered applications.
Acquires comprehensive cryptocurrency data and performs advanced technical analysis using the Model Context Protocol.
Enables Large Language Models to interact with Metabase for advanced data analysis, visualization, and dashboard management.
Enables users to search, visualize, and listen to information using a Google Search agent powered by Gemini models.
Generates AI images using the Doubao Seedream 4.0 model, seamlessly integrating with Claude Code via Model Context Protocol.
Provides a high-performance, local-first memory server in Rust, equipping AI agents with an advanced hybrid memory system combining knowledge graphs, vector embeddings, and full-text search.
Provides real-time stock market data from the Colombo Stock Exchange, enabling AI assistants to access current prices and company information.
Provides a high-performance Model Context Protocol server enabling large language models with comprehensive mathematical capabilities.
Provides AI assistants with institutional-grade quantitative finance tools, including real-time market data, paper trading, risk analysis, and portfolio optimization.
Empowers AI assistants with local, internet-independent data engineering capabilities, including data manipulation, validation, visualization, and API integration.
Searches and downloads academic papers from multiple platforms, designed for integration with large language model tools.
Empowers AI to present choices and facilitates user selection through an interactive interface, returning the results to the AI.
Drives expressive portrait animation from a webcam in real-time or generates animated videos from static images and driving footage.
Facilitates AI-driven analysis of Windows crash dumps by providing structured access to Microsoft debugging tools through the Model Context Protocol.
Equip Claude Code with long-term memory across sessions using a hybrid search, LLM-driven structuring, and dynamic retrieval system.
Allocates Google Colab GPU runtimes for executing Python code, enabling GPU-accelerated tasks without requiring local hardware.
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