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官方说明7 个来源MCP 服务8 天前
hydrolix/mcp-hydrolix

hydrolix/mcp-hydrolix

🎖️ 🐍 ☁️ - Hydrolix time-series datalake integration with schema exploration and query capabilities
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add mcp-hydrolix -- npx -y mcp-hydrolix
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
11 ★ · hydrolix/mcp-hydrolix · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 11 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 hydrolix/mcp-hydrolix;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Hydrolix MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

An MCP server for Hydrolix.
Quickstart
Get up and running in a few minutes. This section covers Claude Desktop and Claude Code.
Step 1 — Prerequisites
Before you begin, make sure you have:
- **Hydrolix credentials** — your cluster hostname plus either a username/password or a service account token. If you don't have these, ask your Hydrolix administrator.
- **Claude Desktop** — download from claude.ai/download.
Step 2 — Install the MCP server
Choose the method that matches your setup:
**Option A: Using uv (recommended)**
uv manages Python automatically and downloads mcp-hydrolix on demand, so no separate install step is needed. If you don't have uv, install it:
macOS / Linux:
Windows (PowerShell):
**Option B: Using pip**
Requires Python 3.13+. If you need to install Python, download it from python.org.
Step 3 — Configure Claude Desktop
1. Open the Claude Desktop configuration file:
- **macOS:** ~/Library/Application Support/Claude/claude_desktop_config.json
- **Windows:** %APPDATA%\Claude\claude_desktop_config.json
- **Linux:** ~/.config/Claude/claude_desktop_config.json
2. Add the following entry to the "mcpServers" object (create the file with this content if it doesn't exist yet):
Replace , , and with your actual credentials.
> [!NOTE]
> If you used Option B (pip), use "command": "mcp-hydrolix" with no "args" field instead.
> [!TIP]
> If the file already has other entries, add the "mcp-hydrolix" block inside the existing "mcpServers" object rather than replacing the whole file.
> [!NOTE]
> If you authenticate with a service account token instead of username/password, see Authentication.
Command not found?
Claude Desktop launches without your shell's PATH, so it may not locate the binary even if it is installed. Find the full path and use it as the "command" value in the config.
**Option A (uv):** find uvx:
- **macOS / Linux:** which uvx
- **Windows:** where.exe uvx
**Option B (pip):** find mcp-hydrolix:
- **macOS / Linux:** which mcp-hydrolix
- **Windows:** where.exe mcp-hydrolix
If which/where.exe returns nothing, the binary isn't on your PATH. The cleanest fix is to switch to Option A (uv), which manages the Python environment and PATH for you.
Step 4 — Restart Claude Desktop
Restart the app to apply the configuration.
> **macOS / Windows users:** Make sure to fully quit Claude before restarting. On macOS, press Cmd+Q or right-click the Dock icon and choose Quit. On Windows, use the system tray icon.
Step 5 — Verify it's working
1. Open a new conversation in Claude Desktop. Look for a tools/hammer icon near the text input — this confirms the MCP server connected successfully.
2. Try this prompt to confirm everything is working:
> Using your Hydrolix MCP tools, list the available databases.
Claude should call the list_databases tool and return a list of databases from your cluster.
---
Using Claude Code instead?
If you prefer the command line, make sure uv is installed (Option A from Step 2), then run:
Then open Claude Code and test with the same prompt:
> Using your Hydrolix MCP tools, list the available databases.
Using VS Code instead?
Click the **Install in VS Code** badge at the top of this README for a one-click install. If you prefer the UI flow, open the Command Palette (**Cmd+Shift+P** / **Ctrl+Shift+P**), run **MCP: Add Server**, choose **Command (stdio)**, and reuse the uvx ... command and env block from Step 3.
Tools
* run_select_query
* Execute SQL queries on your Hydrolix cluster.
* Input: query (string): The SQL query to execute.
* Input: max_cells (integer, optional): Result cell budget (rows × columns); when the server sets a cap, a caller can only lower it.
* Input: purpose (string, required): Why the query is being run; recorded with the query as hdx_query_comment.
* A trailing FORMAT clause is removed; the server selects the wire format.
来源
awesome · https://github.com/hydrolix/mcp-hydrolix
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