BigQuery MCP Server
@MCP-Mirror
关于 BigQuery MCP Server
Mirror of
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ergut_mcp-bigquery-server": {
"command": "npx",
"args": [
"@smithery/cli",
"install",
"@ergut/mcp-bigquery-server",
"--client",
"claude"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is BigQuery MCP Server?
It is a server that connects LLMs like Claude to BigQuery via the Model Context Protocol, allowing natural language queries to databases. It acts as a secure translator between AI assistants and BigQuery data.
How to use BigQuery MCP Server?
Install via Smithery by running npx @smithery/cli install @ergut/mcp-bigquery-server --client claude or manually by adding a configuration to Claude Desktop's claude_desktop_config.json. Provide your Google Cloud project ID, location (defaults to us-central1), and optionally a service account key file. Then start asking questions in Claude Desktop.
Key features of BigQuery MCP Server
- Translate natural language questions into SQL queries.
- Access both tables and materialized views in datasets.
- Explore dataset schemas with labeled resource types.
- Enforce a 1GB query limit for safe analysis.
- Read-only access ensures data security.
- Integrates with MCP, available in Claude Desktop.
Use cases of BigQuery MCP Server
- Ask business questions like "top 10 customers last month" without writing SQL.
- Explore database schema and tables through natural language.
- Generate ad-hoc reports by chatting with your data.
- Enable non-technical users to query BigQuery.
FAQ from BigQuery MCP Server
What LLMs does this server work with?
Currently only Claude Desktop in developer preview.
What are the prerequisites?
Node.js 14+, a Google Cloud project with BigQuery enabled, and either Google Cloud CLI or a service account key.
How does authentication work?
You can use Google Cloud CLI (gcloud auth application-default login) for development or supply a service account key file with --key-file for production.
Is the data accessed read-only?
Yes, queries are read-only with a default 1GB processing limit
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