官方说明7 个来源MCP 服务8 天前
alkemiai/alkemi-mcp
📇 ☁️ - Query Snowflake, Google BigQuery and Databricks data products in natural language through Alkemi
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 alkemi-mcp -- npx -y alkemi-mcp
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
- 4 ★ · alkemi-ai/alkemi-mcp · 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 · 4 ★ · 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
alkemi-ai/alkemi-mcp；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
Alkemi MCP Server
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Integrate your Alkemi Data, connected to Snowflake, Google BigQuery, DataBricks and other sources, with your MCP Client.
This is a STDIO wrapper for the Streamable HTTP MCP Endpoint:
Get your free API key at datalab.alkemi.ai
Alkemi.ai
Querying databases requires knowledge about the schema of the tables and may require examples of the kinds of queries that can answer specific questions. Otherwise, you may be getting the wrong answers. Maintaining all that information in every agent or MCP Client that queries your database is a challenge and doesn't scale to teams looking to share data.
The Alkemi MCP Server uses Alkemi to store the database metadata, generate proper queries and actually query the database so you can share your MCP Server with teammates and everyone will have the same ability to query with quality.
Installation
To add OpenAI to Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Env Vars
- MCP_NAME: The name of the MCP Server. This is optional. If you configure multiple, this is required so they do not have the same names in your MCP Client..
- BEARER_TOKEN: The Bearer token for the Streamable HTTP MCP Server. This is required for the STDIO MCP Integration.
- PRODUCT_ID: The ID of the Product if you want to narrow scope to just a single product. This is optional.
Configuration
You can use it via npx in your Claude Desktop configuration like this:
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
If you want to specify a specific product that the MCP Server should use, you can specify the PRODUCT_ID environment variable. And with setting the MCP_NAME, you can configure multiple.
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
This is a STDIO wrapper for the Streamable HTTP MCP Endpoint:
Get your free API key at datalab.alkemi.ai
Alkemi.ai
Querying databases requires knowledge about the schema of the tables and may require examples of the kinds of queries that can answer specific questions. Otherwise, you may be getting the wrong answers. Maintaining all that information in every agent or MCP Client that queries your database is a challenge and doesn't scale to teams looking to share data.
The Alkemi MCP Server uses Alkemi to store the database metadata, generate proper queries and actually query the database so you can share your MCP Server with teammates and everyone will have the same ability to query with quality.
Installation
To add OpenAI to Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Env Vars
- MCP_NAME: The name of the MCP Server. This is optional. If you configure multiple, this is required so they do not have the same names in your MCP Client..
- BEARER_TOKEN: The Bearer token for the Streamable HTTP MCP Server. This is required for the STDIO MCP Integration.
- PRODUCT_ID: The ID of the Product if you want to narrow scope to just a single product. This is optional.
Configuration
You can use it via npx in your Claude Desktop configuration like this:
Or, if you clone the repo, you can build and use in your Claude Desktop configuration like this:
If you want to specify a specific product that the MCP Server should use, you can specify the PRODUCT_ID environment variable. And with setting the MCP_NAME, you can configure multiple.
Development
Install dependencies:
Build the server:
For development with auto-rebuild:
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:
- 来源
- awesome · https://github.com/alkemi-ai/alkemi-mcp
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每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。