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458,064 tools. Updated 2026-08-14 21:02

"scikit-learn" matching MCP tools:

  • Checks MNE-Python and dependency versions (scikit-learn, numpy, scipy, matplotlib) plus runtime directories to confirm the MNE-MCP environment is ready for neurophysiology data analysis.
    MIT
  • Check the price and payment options of any HTTP 402 paywall before paying. Inspect gated pages to learn cost, currency, and available access modes with no charge.
    MIT
  • Analyze the gap between your current skills and the requirements of your desired role. See your match percentage, skills you already have, and missing skills ranked by impact to prioritize what to learn next.
    MIT
  • Simulate adding skills you don't have and see which ones unlock the most new jobs, boost existing matches, and increase your market impact. Get a ranked list with impact scores to decide what to learn next.
    MIT
  • Search live Microsoft Learn Partner Center developer documentation and return matching excerpts with titles, URLs, and text. Use this fallback when offline curated answers have no result.
    MIT
  • Explains Partner Center rules on cancellations, non-payment, promotion limits, and lifecycle events. Provides cited answers to 'why refused', 'how long', 'who is liable' from Microsoft Learn.
    MIT

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  • Check if the AlgoChains Learn Hub is live and public by verifying HTTP status, RSS feed MIME type, and subdomain redirect. Read-only verification without login required.
    MIT
  • Get the current Molpha verification surface to learn where a signed result can be verified. Includes registry version, node set, gateway endpoints, supported chains, and spend caps.
    MIT
  • List available bots, indicators, and exchanges. Get bot details, sections, and indicator defaults for strategies.
    MIT
  • Manage structural blueprints extracted from real documents. Learn from DOCX or PDF, list stored blueprints, delete by name, and use to validate paragraph structure when creating documents.
    MIT
  • Access detailed guides for trust-building areas or interaction form recipes. Find step-by-step instructions on verification, claims, recording, and more.
    Apache 2.0
  • Create a product experiment to track Build-Measure-Learn stages, including title, metric, target, and hypothesis. Manage experiments from idea to learning.
    MIT
  • Maps Hermes /goal, verification evidence, /learn, /journey, and background subagents into Marrow proof and outcome workflows. Provides integration guidance for applying Marrow governance to Hermes agents.
    MIT
  • Summarize a local DBC file to learn its size and node names, providing an overview for initial inspection.
    MIT
  • Extracts conversational style signals from a user message to learn personal habits like catchphrases, emoji use, and tone, without storing private memories.
    MIT
  • Fetch a free sample Brazilian company profile to preview the response format before purchasing paid data retrieval tools through the Brazilayer MCP Server.
    MIT