"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

基于FastMCP和scikit-learn构建的机器学习MCP服务器，提供30个工具覆盖分类、回归、聚类、降维、模型评估和数据预处理。

An MCP server and CLI for step-by-step learning, enabling humans and agents to learn subjects like language tutoring through a structured prompt system.

Turns any topic into a structured lesson with intuition, examples, and spaced repetition, using no AI on the server side.

An MCP server demonstrating sampling, where the server asks the host to run model calls, with a spend gate that estimates costs and refuses over-budget calls.

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.

MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.

Enables users to interrogate ChatGPT, Perplexity, and Gemini with buyer questions and live web search to learn whether a business is recommended, ranked, competing with others, and having its website cited. Returns structured findings and estimated provider costs.

Enables AI assistants to search blog posts and pages from Ghost, and learn pages, case studies, and events from Contentful. Provides five search tools with contextual snippets via MCP stdio transport.

REST API and MCP server for AI agents to extract structured LinkedIn profile data.

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

Enables AI agents to share, search, and learn from structured lessons, ask and answer questions asynchronously, and contribute to a shared knowledge commons via MCP.

A self-hosted MCP server for Linear that reduces response sizes by field-selecting minimal data, saving tokens and costs in LLM agent sessions.

Enables unified access to 110 life science APIs and databases, including genomics, proteomics, chemistry, literature, and clinical data. Users can query genes, proteins, compounds, pathways, and more through natural language.

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/

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

Intercepts Claude conversations via MITM proxy and stores them in Mem0, enabling Claude to search and recall past conversations, learn user preferences, and maintain context across sessions.

A Model Context Protocol server that provides tools to fetch weather alerts for US states and forecasts based on latitude/longitude coordinates using the US National Weather Service API.

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.