Discover our curated collection of MCP servers for data science & ml. Browse 8948 servers and find the perfect MCPs for your needs.
Exposes Mac system information via a local API for access by AI assistants.
Provides web search and intelligent research capabilities through Claude CLI integration for MCP clients.
Integrates LLM orchestrators with MQTT brokers to enable agent-driven interaction with IoT devices and MQTT-based systems.
Provides reliable and durable mathematical operations by bridging Model Context Protocol (MCP) tools with Temporal's Nexus RPC framework.
Generates intelligent stock trading signals by combining advanced statistical models and machine learning with integrated risk management and volatility analysis.
Empowers AI assistants to generate images using the Black Forest Labs API and FLUX models.
Empower qualitative researchers with AI-driven analysis tools and a community-contributed methodology library.
Facilitates large language model interaction with MySQL databases for comprehensive data operations.
Provides a full-stack template for building AI agents using LangGraph.js on the frontend and Model Context Protocol on the backend.
Establishes a production-ready trading server for integrating with the Zerodha Kite Connect API and compliant with the MCP Protocol.
Integrates IBM Z mainframe capabilities, including Key Protect HSM and z/OS Connect, with AI platforms through the Model Context Protocol.
Orchestrates external LLM tokens to offload high-volume tasks from Claude Code, enhancing its capabilities and efficiency.
Provides a powerful Model Context Protocol server equipped with over 100 practical tools for AI development and integration projects.
Automatically backs up WhatsApp photos and videos of loved ones to Google Photos using AI face recognition.
Establishes a structured, multi-layered memory architecture for AI agents to achieve persistent, cognitive history beyond traditional flat vector storage.
Builds a self-improving knowledge graph that enhances AI agent memory and learning capabilities.
Exposes command-line interface tools for zsv, a high-performance CSV processor, as an MCP server for AI clients.
Provides AI assistants with direct access to MATLAB Simulink, enabling loading, inspection, modification, and simulation of models.
Automates Vivado project workflows, enabling AI agents to manage FPGA development tasks programmatically.
Constructs a knowledge graph of codebases for efficient, AI-powered code reviews by providing precise context and qualified call resolution.
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