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multi-cloud-docs-search

MCP Server for multi-cloud provider documentation search — search and retrieve official cloud vendor docs directly in AI coding assistants

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Install multi-cloud-docs-search in your MCP client

multi-cloud-docs-search is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.

  1. Locate your client's MCP config file.
    • Cursor: ~/.cursor/mcp.json
    • Claude Desktop (macOS): ~/Library/Application Support/Claude/claude_desktop_config.json
    • Claude Desktop (Windows): %APPDATA%\Claude\claude_desktop_config.json
    • VS Code: Settings → Extensions → MCP
    • Windsurf: Settings → MCP Servers
  2. Add multi-cloud-docs-search to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing mcpServers object.
  3. Restart your client so it picks up the new server.
  4. Verify — ask the assistant to list available tools; multi-cloud-docs-search's tools should appear.
{
  "mcpServers": {
    "multi-cloud-docs-search": {
      "command": "npx",
      "args": [
        "-y",
        "multi-cloud-docs-search"
      ]
    }
  }
}

Install multi-cloud-docs-search in Cursor

Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. multi-cloud-docs-search will show up in the assistant's tool list on next launch.

Install multi-cloud-docs-search in Claude Desktop (macOS)

Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). multi-cloud-docs-search will show up in the assistant's tool list on next launch.

Install multi-cloud-docs-search in Claude Desktop (Windows)

Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). multi-cloud-docs-search will show up in the assistant's tool list on next launch.

Install multi-cloud-docs-search in VS Code

Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. multi-cloud-docs-search will show up in the assistant's tool list on next launch.

npm package: multi-cloud-docs-search

Transport

multi-cloud-docs-search supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.

stdio

From the multi-cloud-docs-search README

# multi-cloud-docs-search 多云文档搜索 MCP Server — 在 AI 编程助手中直接搜索和获取云厂商官方产品文档。采用适配器架构，支持 **14 个云厂商**。 ## 安装配置 ### 方式一：npx 直接运行（推荐） ```bash npx multi-cloud-docs-search ``` ### 方式二：配置到 MCP 客户端 在 Claude Code、Cursor、Windsurf 等支持 MCP 的客户端中，添加以下配置： ```json { "mcpServers": { "multi-cloud-docs-search": { "command": "npx", "args": ["multi-cloud-docs-search"] } } } ``` > **国内镜像加速：** `npm config set registry https://registry.npmmirror.com/` ## 可用工具 所有工具第一个参数为 `provider`（云厂商标识）。 | 工具 | 参数 | 说明 | |------|------|------| | `list_products` | provider, keyword? | 获取产品文档列表 | | `get_document_toc` | provider, productId, keyword? | 获取文档目录 | | `search_documents` | provider, productId, keyword | 搜索文档正文 | | `get_page_metadata` | provider, pageId | 获取页面元信息 | | `get_page_content` | pro…

More build.protocol_tooling.mcp MCP servers

Other Model Context Protocol servers in the same space as multi-cloud-docs-search. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.

Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.