Lightweight Databricks Documentation MCP Server
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# Databricks Documentation MCP Server A lightweight, stateless [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that lets AI assistants read and search [docs.databricks.com](https://docs.databricks.com) in real time — no local cache, no database, no crawling required. ## Features - **Live fetch** — always returns current documentation content, never stale - **Full-text search** — real-time, site-scoped search via DuckDuckGo `site:` operator - **Docusaurus-aware extraction** — strips navigation, sidebars, and page chrome; returns clean markdown - **Section extraction** — pull specific h2 sections from long reference pages - **Pagination** — `start_index` and `max_length` parameters for large pages ## Prerequisites - Python 3.10 or later - [uv](https://docs.astral.sh/uv/) (recommended) or pip ## Installation ```bash # run directly without installing (recommended) uvx databricks-docs-mcp # or install permanently pip install databricks-docs-mcp ``` ### MCP client configuration (release install) #### Claude Desktop Edit `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows): ```json { "mcpServers": { "databricks-docs": { "command": "uvx", "args": ["databricks-docs-mcp"] } } } ``` #### VS Code (GitHub Copilot) Add to `.vscode/mcp.json` in your workspace: ```json { "servers": { "databricks-docs": { "type": "stdio", "command": "uvx", "args": ["databricks-docs-mcp"] } } } ``` > To pin a specific version, use `"args": ["databricks-docs-mcp==1.2.0"]`. ### From source (development) ```bash git clone https://gitlab.com/rokorolev/databricks-docs-mcp.git cd databricks-docs-mcp uv sync --extra dev ``` MCP client config for a local clone: ```json { "servers": { "databricks-docs": { "type": "stdio", "command": "uv", "args": ["--directory", "/absolute/path/to/databricks-mcp", "run", "dat…
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