"scikit-learn" matching MCP servers:

The Microsoft Learn Docs MCP Server is a cloud-hosted service that enables clients like GitHub Copilot and other AI agents to bring trusted and up-to-date information directly from Microsoft's official documentation. It is a remote MCP Server using streamable http, which is lightweight for clients t

Enables building MCP servers using TypeSpec, with tools to scaffold, compile, and learn TypeSpec.

Enables AI coding agents to learn, from locally read lockfiles, what changes between the dependency version installed and a target version, which of the user's files that upgrade touches, and which vulnerabilities it resolves. It also performs OSV-matched vulnerability scans, ranks upgrade plans, and stores decision memory, running entirely on the user's machine with no account or API keys.

Enables agents to learn Hashpower market rules, read live on-chain data, and simulate orders without holding keys or entering the production trade path.

Provides LLMs with tools to interact with the MASV API. MASV is an easy-to-use and ultra-reliable managed file transfer service designed for teams of all sizes. It allows users to send and receive massive files without size limits, while ensuring data integrity and security through its robust cloud infrastructure that supports cloud, on-prem, and hybrid workflows. Learn more https://massive.io/

Create videos from scripts and storyboards, manage projects, and export completed videos through the VideoGen API. Runs locally with npx and authenticates with your VideoGen API key. Learn more: https://videogen.io/videogen-mcp

Persistence memory MCP server that enables AI coding agents to recall and learn from past sessions, storing scars, wins, patterns, and decisions for continuous improvement.

palaia gives your agents a persistent, searchable knowledge store. They save what they learn, find it by meaning, and share it across tools and sessions automatically.

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

Build, edit, and deploy Telegram bots on FlowCastle's hosted visual flow platform: 16 tools to read workspace context, learn the flow format, validate and apply flow edits, and manage broadcasts. Ships with 23 ready-to-use bot templates and runs as a stdio bridge (mcp-remote) to the hosted Streamable HTTP endpoint.