What is MCP Server for Spanner?
It is an MCP server that enables AI assistants to interact with Google Cloud Spanner databases by executing SQL queries and retrieving schema information.
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MCP Server for Spanner is a Model Context Protocol (MCP) server that connects to Google Cloud Spanner databases and executes SQL queries. It is designed for AI assistants to interact with Spanner databases.
Clone the repository, install dependencies (npm install), build (npm run build), then configure the server using environment variables (PROJECT_ID, INSTANCE_ID, DATABASE_ID, API_ENDPOINT) or command-line arguments. The server can be launched via Claude Desktop settings or with MCP Inspector for development.
It is an MCP server that enables AI assistants to interact with Google Cloud Spanner databases by executing SQL queries and retrieving schema information.
Node.js 22 or later is required. The tool currently only supports connecting to a Spanner emulator (not a production Spanner instance).
The server can read and modify any data in the configured Spanner database, including tables, rows, and schema objects. It does not access external systems.
It uses the standard MCP transport over STDIO, as configured in the MCP client (e.g., Claude Desktop).
Authentication is configured via environment variables (`PROJECT_ID`, `INSTANCE_ID`, `DATABASE_ID`, `API_ENDPOINT`). For the emulator, no actual Google Cloud credentials are needed; the emulator endpoint is specified directly.
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