"scikit-learn" matching MCP servers:

Provides a standardized interface for interacting with Scikit-learn models and datasets, enabling training, evaluation, and model management through natural language.

MCP server that lets AI assistants access University of Waterloo LEARN course data (announcements, content, grades, assignments, outlines) and search past assessments in Google Drive.

An MCP server that gives desktop AI apps access to your Waterloo LEARN courses, enabling listing courses, getting announcements, content, grades, and upcoming events through natural language.

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 classifying electricity meter days as active, standby, off, or unsure from 96 fifteen-minute kWh readings plus a meter reference, with batch support for up to 31 days and model metadata. Runs fully offline as a frozen scikit-learn classifier, exposing single-day and batch classification plus model-info tools over STDIO or HTTP.

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.

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.

Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.

An MCP server that makes your AI agent learn and evolve by capturing feedback as reusable, persistent skills that improve over time.

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.

A local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.

Distills Claude Code's 310K-line source into 32 queryable modules via MCP, enabling AI agents to learn and reuse Claude Code's architectural patterns through natural language.

An MCP server that provides AI trading agents with persistent, outcome-weighted memory to learn from historical performance and detect behavioral biases. It enables agents to automatically adjust strategies and optimize position sizing based on context-aware recall of past trade outcomes.

Lets an AI agent read and change on-premises Active Directory by writing short JavaScript scripts that run in a network-isolated sandbox against a chosen domain. Runs on Windows as the logged-on user, over Kerberos, with tools for executing scripts, searching the domain's schema catalogue, querying Microsoft Learn docs, and managing domain connections and Group Policy objects.

Enables AI coding agents to evaluate code snippets and learn from execution outcomes through local bio-inspired associative memory, delivering instant zero-token bug and antipattern reflexes without LLM inference.

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.

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.

MCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.