by LucasHild
A Model Context Protocol server that provides access to BigQuery
# Add to your Claude Code skills
git clone https://github.com/LucasHild/mcp-server-bigqueryGuides for using mcp servers skills like mcp-server-bigquery.
Last scanned: 5/30/2026
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"status": "PASSED",
"scannedAt": "2026-05-30T16:23:08.218Z",
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}mcp-server-bigquery is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by LucasHild. A Model Context Protocol server that provides access to BigQuery. It has 128 GitHub stars.
Yes. mcp-server-bigquery passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/LucasHild/mcp-server-bigquery" and add it to your Claude Code skills directory (see the Installation section above).
mcp-server-bigquery is primarily written in Python. It is open-source under LucasHild on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-server-bigquery against similar tools.
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A Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries.
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 tableThe server can be configured either with command line arguments or environment variables.
| Argument | Environment Variable | Required | Description |
|---|---|---|---|
--project |
BIGQUERY_PROJECT |
Yes | The GCP project ID. |
--location |
BIGQUERY_LOCATION |
Yes | The GCP location (e.g. europe-west9). |
--dataset |
BIGQUERY_DATASETS |
No | 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) or by joining them with a comma in the environment variable (e.g. BIGQUERY_DATASETS=my_dataset_1,my_dataset_2). If not provided, all datasets in the project will be considered. |
--key-file |
BIGQUERY_KEY_FILE |
No | Path to a service account key file for BigQuery. If not provided, the server will use the default credentials. |
--timeout |
BIGQUERY_TIMEOUT |
No | Maximum time in seconds to wait for a query to complete. If not provided, queries will wait indefinitely. |
To install BigQuery Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install mcp-server-bigquery --client claude
claude mcp add bigquery --scope user --transport stdio -- uvx mcp-server-bigquery --project {PROJECT_ID} --location {{LOCATION}}
On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": ["mcp-server-bigquery"],
"env": {
"BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
"BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
}
}
}
}
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": ["mcp-server-bigquery"],
"env": {
"BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
"BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
}
}
}
}