Discover our curated collection of MCP servers for data science & ml. Browse 10258 servers and find the perfect MCPs for your needs.
Enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine.
Integrates Xano databases with Smithery to enable Claude AI interactions with Xano data.
Enables AI models to access and interact with real-time IoT data from the Acceleronix platform, enhancing AI applications with contextual device information.
Integrates with arXiv to search academic papers, extract detailed information, organize resources by topic, and generate AI-ready research prompts.
Provides a simplified, functional Node.js implementation of an MCP server with advanced chat and consensus capabilities.
Deploys an authentication-free remote Model Context Protocol server on Cloudflare Workers for AI agent integration.
Provides a Python-based server to interact with Experimental Physics and Industrial Control System (EPICS) process variables, enabling retrieval, setting, and detailed information fetching of PVs.
Transforms large language models into comprehensive development agents by enforcing spec-driven development with structured specification generation and validation.
Integrates Alibaba's Qwen-Omni multimodal AI capabilities into any Model Context Protocol (MCP) compatible AI assistant.
Integrate Pulsyn smart ring health data, including sleep, HRV, heart rate, and activity, with AI assistants.
Enables AI agents to access SMB/CIFS shares or local filesystem paths at runtime while preserving native permissions.
Connects AI services to the OpenSentry Command Center, providing access to camera status, detection alerts, recordings, and system health data through a standardized interface.
Provides a lightweight remote server for Firm workspaces, enabling AI agents to interact with Git-backed data.
Integrates real-time, AI-powered crypto news intelligence and market data into AI assistants.
Provides AI agents with programmatic access to the Epstein Exposed public API.
Provides programmatic access to a wide range of financial data from Argentina's Central Bank (BCRA) public APIs.
Provides persistent, dual-memory (episodic vector and semantic graph) capabilities for AI agents, accessible via multiple interfaces.
Bridges LynxPrompt instances to an MCP server, empowering AI agents to manage configuration blueprints.
Provides persistent, zero-LLM, local-first memory with proactive recall for AI coding agents.
Generates fully-cited academic research papers with verified citations using specialized AI agents and vast academic sources.
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