{"repo":"sktime/sktime-mcp","free":true,"listed":false,"github":"https://github.com/sktime/sktime-mcp","clone":"git clone https://github.com/sktime/sktime-mcp.git","description":"An MCP (Model Context Protocol) layer that exposes sktime’s native registry and semantics to an LLM","language":"Python","stars":27,"topics":["mcp-server","sktime"],"license":"BSD-3-Clause","category":"mcp-servers","readme_excerpt":"sktime-mcp Read the Documentation PyPI Package MCP (Model Context Protocol) layer for sktime - Registry-Driven for LLMs A semantic engine that exposes sktime's native registry and semantics to Large Language Models, enabling them to: - 🔍 Discover valid estimators - 🧠 Reason about estimator capabilities - 🔗 Compose compatible estimators - ⚡ Execute real sktime workflows on real data 🎯 Design Philosophy This MCP is not just documentation or static code analysis. It is a semantic engine for programmatic model usage. Key Principles 1. sktime as Source of Truth - No AST parsing, no repo indexing, no heuristics. All structure comes from all estimators , estimator tags, and sktime's API contracts. 2. Registry-First - Instead of File → Class → Infer Relationships , we do Registry → Semantics → Safe Execution . 3. Minimal MCP Surface - Exposes only what an LLM needs: Discovery, Description, Instantiation, Execution, and model persistence. 🛠️ Installation Zero-install via uvx (recommended) If you have uv installed, no separate installation step is needed. Just update your MCP client config (see Connecting from an LLM Client below) and uvx will handle the rest automatically. pip Development installation 🐳 Docker Run without installing anything locally (only Docker required): Or use Docker Compose: Claude Desktop — use Docker as the MCP server command: Environment variables can be passed at runtime: For a more detailed first-time setup flow, including MCP server verification and tr","default_branch":null,"files":null,"tree":[],"storefront":"/r/sktime","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sktime/sktime-mcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}