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650,501 tools. Updated 2026-10-14 00:42

"scikit-learn" matching MCP tools:

  • Fetch and convert a Microsoft Learn documentation webpage to markdown format. This tool retrieves the latest complete content of Microsoft documentation webpages including Azure, .NET, Microsoft 365, and other Microsoft technologies. ## When to Use This Tool - When search results provide incomplete information or truncated content - When you need complete step-by-step procedures or tutorials - When you need troubleshooting sections, prerequisites, or detailed explanations - When search results reference a specific page that seems highly relevant - For comprehensive guides that require full context ## Usage Pattern Use this tool AFTER microsoft_docs_search when you identify specific high-value pages that need complete content. The search tool gives you an overview; this tool gives you the complete picture. ## URL Requirements - The URL must be a valid HTML documentation webpage from the microsoft.com domain - Binary files (PDF, DOCX, images, etc.) are not supported ## Output Format markdown with headings, code blocks, tables, and links preserved.
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  • The metropolitan areas with published rankings, and which service categories each one covers. Call this first to learn the slugs the other tools expect.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Requly dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Longtailo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Retainvia dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Mandatzo dataset. Call this first to learn the schema.
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  • Official Microsoft Learn MCP Server – real-time, trusted docs & code samples for AI and LLMs.

  • CWI Discovery Engine: 28-tool music catalog MCP — search, sync, Radio 365 live, proof-of-airplay.

  • The columns, which of them are numeric, the row count and the provenance banner of the TermsBird dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Orgbix dataset. Call this first to learn the schema.
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  • Fetch one result by the id search returned (rh:<address>, sol:<mint> or learn:<slug>). A token id returns the stored read as text with its citation and as-of time; a learn id returns the lesson's full text and, when it has a video, the transcript. Never triggers a scan; a missing read says so.
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  • Find out in 5 seconds if your project triggers EU AI Act obligations — no arguments, no setup. Scans for 22 AI/ML frameworks (OpenAI, Anthropic, LangChain, HuggingFace, PyTorch, TensorFlow, scikit-learn…), returns your risk category and the legal actions required before you ship. Enforcement live since Feb 2025 — fines up to 35M EUR. For EU AI Act + GDPR together, call combined_compliance_report() instead.
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  • Discover available analytics tables and their summary metadata. Call this before nevent_analytics_query, then use nevent_analytics_table_schema to learn valid field names for a selected table.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Deflectvo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Extinvo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Fitouto dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Funnelvo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Coshhvo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Dividvo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Footfally dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Jobcardo dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Limslane dataset. Call this first to learn the schema.
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  • The columns, which of them are numeric, the row count and the provenance banner of the Runwayze dataset. Call this first to learn the schema.
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