Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Enables reading and chunking of Excel files, providing pagination support for efficient data access.
Provides access to browse, filter, analyze, and download datasets hosted on the Hugging Face Hub.
Converts PDF files and URLs into structured Markdown format.
Provides a multi-dimensional, adaptive, and collaborative reasoning framework for AI assistants.
Generates images from text prompts using Google's Gemini Flash models through the MCP protocol.
Provides access to Jina AI's web services through Claude, enabling web page reading, web search, and fact-checking.
Optimizes Apache Spark code using AI-powered analysis and suggests performance enhancements.
Provides a TypeScript client library for interacting with Model Context Protocol (MCP) servers.
Integrates Ollama with Model Context Protocol (MCP) servers, allowing AI models to interact with various tools through a unified interface.
Enables searching Google Patents information via the SerpApi Google Patents API.
Enables chat assistants to generate images using the Grok-2 model via the Model Context Protocol (MCP).
Enables AI assistants to securely interact with Charles Schwab accounts and market data through the official Schwab API.
Executes advanced logic primitives and cognitive operations, leveraging the Model Context Protocol (MCP).
Enables AI agents to seamlessly automate tasks and interact with the Windows operating system.
Provides a comprehensive Model Context Protocol server for market sizing, TAM/SAM calculations, and in-depth industry research.
Empowers AI agents to discover, create, and execute complex, multi-step workflows defined in simple YAML files.
Optimizes and manages context for AI models, improving prompt efficiency, response quality, and reducing costs.
Orchestrates AI-powered penetration testing by planning attack paths, solving CTF/HTB challenges, and automating workflows with advanced search strategies and tool recommendations.
Enables inter-AI collaboration by bridging Gemini, Claude, Codex, and OpenCode through the Model Context Protocol.
Provides an advanced AI memory layer with intelligent importance scoring, temporal decay, hierarchical organization, and critical YMYL fact prioritization.
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