Discover our curated collection of MCP servers for data science & ml. Browse 10027 servers and find the perfect MCPs for your needs.
Build Model Context Protocol (MCP) servers with embedded LLM reasoning capabilities.
Enables querying live monday.com data from Large Language Models through a Model Context Protocol (MCP) interface.
Connects to SAP Ariba Source data, making it accessible to Large Language Models (LLMs) through the Model Context Protocol (MCP) using CData JDBC Drivers.
Enables Large Language Models to query live TaxJar data by exposing it as relational SQL models through an MCP interface.
Enables interactive command-line chat with AI models via the Anthropic API.
Demonstrates Model Context Protocol (MCP) implementation with a Go-based host orchestrating services from both Go and Python servers.
Provides AI-based skin analysis and personalized recommendations by processing a selfie image URL.
Enables AI agents to perform hybrid searches over Hacker News stories, combining keyword and semantic embedding techniques.
Search millions of podcasts, discover episodes, and retrieve comprehensive structured metadata from the Podcast Index API for AI assistants.
Provides structured access to GitHub repository data, exposing it as reliable, AI-callable tools for agents.
Provides structural observability for AI conversations and financial markets, detecting loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content.
Bridges the BayesInference package with AI assistants to provide direct access to Bayesian modeling tools and extensive documentation.
Enables Claude to store and retrieve long-term memory using a local Markdown file, functioning as a lightweight Model Context Protocol server.
Exposes PostgreSQL databases to AI assistants through a fixed set of structured operations and tools.
Provides read-only access to Azure Blob, Queue, and Table Storage services via a Model Context Protocol (MCP) server.
Provides AI agents with direct access to eight quantitative climate risk tools for analyzing carbon asset stranding, portfolio climate VaR, physical hazard exposure, biodiversity-financial coupling, transition contagion, and TCFD reporting.
Integrate AI assistants like Claude with your Scispot lab workspace to manage experiments, protocols, documentation, and inventory using natural language.
Provides AI agents with instant, structured access to the macOS accessibility tree, eliminating the need for screenshots in text-based UI interactions.
Enables large language models to interact with BIMP ERP data for reading, creating, updating entities, and analyzing business data.
Transforms long-form online sources like YouTube, Bilibili, RSSHub, and RSS feeds into grounded search results, knowledge cards, and MCP-ready operations.
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