Data Science & ML MCP Servers

Cognee

Provides a reliable memory layer for AI applications and AI agents, enhancing response accuracy and reducing hallucinations.

MindsDB

Build AI applications that can learn and answer questions over large-scale federated data sources using a federated query engine.

Phoenix

Provides an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting of LLM applications.

GPT Researcher

Conducts in-depth web and local research on any topic, generating comprehensive reports with citations.

YouTube Transcript

Retrieves transcripts and subtitles from YouTube videos, including automatically generated ones, without requiring an API key or headless browser.

MCP Toolbox for Databases

Streamlines the integration of GenAI tools with databases by handling complexities like connection pooling and authentication.

Mcp-Go

Implements the Model Context Protocol (MCP) in Go, facilitating integration between LLM applications and external data sources and tools.

Graphiti

Builds and queries temporally-aware knowledge graphs tailored for AI agents operating in dynamic environments.

Model Context Protocol for Beginners

Provides an open-source curriculum designed to teach the concepts and fundamentals of the Model Context Protocol (MCP) through practical code examples.

LanceDB

Provides a developer-friendly, embedded retrieval engine for multimodal AI, enabling efficient search and data management.

Xiaozhi ESP32

Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.

Archon

Autonomously builds, refines, and optimizes other AI agents using an advanced agentic coding workflow and framework knowledge base.

Claude Context

Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.

Claude-Flow

Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.

Trigger.dev

Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.

TrendRadar

Aggregates trending topics from over 35 platforms, offering intelligent filtering, automated multi-channel notifications, and AI-powered conversational analysis for deep news insights.

PAL

Orchestrates multiple AI models to enhance CLI tools for collaborative development, code analysis, and problem-solving.

Praison AI

Automate and solve complex problems by creating and managing multi-AI agent systems with a low-code framework.

Ruflo

Orchestrates intelligent multi-agent swarms for Claude, coordinating autonomous workflows and building conversational AI systems.

ARIS (Auto-Research-In-Sleep)

Automates machine learning research workflows, including idea generation, experiment execution, and iterative paper review and refinement.