What prerequisites are needed for Choose MCP Server Setup?
Claude Desktop, uv (install via `brew install uv` on macOS), a Google Cloud project, and valid Application Default Credentials.
@keurcien
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"Choose MCP Server": {
"command": "uvx",
"args": [
"choose-mcp-server"
],
"env": {
"PROJECT_ID": "",
"DATASETS": "",
"DBT_MANIFEST_FILEPATH": ""
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Choose MCP Server Setup is an MCP server that enables interaction with Google Cloud BigQuery datasets and optionally dbt metadata through natural language questions in Claude Desktop. It is intended for users who work with data in BigQuery and want to query it conversationally.
Install the uv package manager, then edit the Claude Desktop configuration file (claude_desktop_config.json) to add the server with command uvx and arguments choose-mcp-server. Set the environment variables PROJECT_ID, DATASETS (comma‑separated), and optionally DBT_MANIFEST_FILEPATH. Authenticate with Google Cloud by running gcloud auth login --update-adc, then open Claude Desktop and start asking questions.
Claude Desktop, uv (install via `brew install uv` on macOS), a Google Cloud project, and valid Application Default Credentials.
On macOS it is at `~/Library/Application\ Support/Claude/claude_desktop_config.json`. On Windows, the path uses the `APPDATA` environment variable.
Run `gcloud auth login --update-adc` to log in and update your Application Default Credentials.
`PROJECT_ID` (your Google Cloud project ID) and `DATASETS` (a comma‑separated list of dataset names). `DBT_MANIFEST_FILEPATH` is optional.

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