Discover our curated collection of MCP servers for data science & ml. Browse 0servers and find the perfect MCPs for your needs.
Build AI-powered applications with this open-source framework for Node.js and Go.
Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.
Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.
Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.
Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.
Compares and patches JavaScript objects, generating compact deltas for efficient updates and reversions.
Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser.
Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.
Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.
Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.
Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.
Create, customize, and engage in real-time conversations with AI characters across web, mobile, and terminal platforms.
Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.
Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving.
Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.
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