"scikit-learn" matching MCP servers:

A package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.

Enables AI agents to plan, submit, monitor, and manage Kubeflow training jobs through natural language, without needing to learn Kubernetes or the Kubeflow SDK.

Provides 300+ MCP tools for orchestrating AI agents — including swarm coordination, self-learning memory, and task management — enabling MCP clients like Claude Code and Cursor to spawn, coordinate, and learn from specialist agents across sessions.

An MCP server that turns your real Chrome or Firefox browser into a shared space with an AI assistant, enabling it to act, observe, wait for you, collaborate step-by-step, and learn tasks from demonstrations.

Enables users to record Windows desktop and browser workflows once and generate replayable Cursor Skills, using Playwright MCP and Windows Computer MCP for semantic, non-coordinate replay.

Dutch registered MCP server for AstraNL coordination protocol connecting humans AI agents and robots. Provides tools for robot index (46 robots across 11 categories), KvK compliance checks for Dutch companies, ACP v1.0 protocol primitives (DESCRIBE, MATCH, SHIELD, EXECUTE, SETTLE, LEARN), and multi AI consensus reviews. Production endpoint with 61 monitored organs and GDPR compliance.

MCP server that enables an agent to spawn sub-agents (a crew) via a local tool, allowing delegation of large tasks to parallel workers with a human approval gate and efficient token usage.

Enables low-cost agent models to control Windows applications through a compact, state-safe proxy over Open Computer Use, reducing model-visible context by up to 99.8% with support for record/replay and reusable UI component memory.

Persistent memory, teams, and projects for AI agents. 76 MCP tools for storing, recalling, and sharing knowledge across sessions with 4-strategy hybrid search.