
BigQuery
from codearranger
Inspect database schemas and execute queries on Google BigQuery.
BigQuery MCP server
A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
Components
Tools
The server implements one tool:
execute-query: Executes a SQL query using BigQuery dialectlist-tables: Lists all tables in the BigQuery databasedescribe-table: Describes the schema of a specific table
Development
Building and Publishing
To prepare the package for distribution:
- Sync dependencies and update lockfile:
uv sync- Build package distributions:
uv buildThis will create source and wheel distributions in the dist/ directory.
- Publish to PyPI:
uv publishNote: You'll need to set PyPI credentials via environment variables or command flags:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.
You can launch the MCP Inspector via npm with this command:
npx @modelcontextprotocol/inspector uv --directory {{PATH_TO_REPO}} run mcp-server-bigqueryUpon launching, the Inspector will display a URL that you can access in your browser to begin debugging.
npx -y @smithery/cli install mcp-server-bigquery --client claudeBefore it works, you'll need: UV_PUBLISH_TOKEN
Configuration
The server can be configured with the following arguments:
--project(required): The GCP project ID.--location(required): The GCP location (e.g.europe-west9).--dataset(optional): Only take specific BigQuery datasets into consideration. Several datasets can be specified by repeating the argument (e.g.--dataset my_dataset_1 --dataset my_dataset_2). If not provided, all datasets in the project will be considered.--key-file(optional): Path to a service account key file for BigQuery. If not provided, the server will use the default credentials.
Quickstart
Install
Installing via Smithery
To install BigQuery Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-server-bigquery --client claudeClaude Desktop
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
Development/Unpublished Servers Configuration
"mcpServers": {
"bigquery": {
"command": "uv",
"args": [
"--directory",
"{{PATH_TO_REPO}}",
"run",
"mcp-server-bigquery",
"--project",
"{{GCP_PROJECT_ID}}",
"--location",
"{{GCP_LOCATION}}"
]
}
}Published Servers Configuration
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": [
"mcp-server-bigquery",
"--project",
"{{GCP_PROJECT_ID}}",
"--location",
"{{GCP_LOCATION}}"
]
}
}Replace {{PATH_TO_REPO}}, {{GCP_PROJECT_ID}}, and {{GCP_LOCATION}} with the appropriate values.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.
Licensed under MITโ you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub โ