Bigquery Mcp

Name: Bigquery Mcp
Author: snowleopard-ai

by snowleopard-aicommunityv0.1.1

This MCP server for Google BigQuery enables AI agents to interact with BigQuery databases through natural language queries and schema exploration.

From the registry: A SnowLeopardAI-managed MCP server that provides access to Google BigQuery data.

GitHub Repository

Install & configure

Prerequisites

required
Google Cloud project with BigQuery
A GCP project with BigQuery permissions and gcloud auth configured.
https://cloud.google.com/bigquery/docs/quickstarts/query-public-dataset-console#query_a_public_dataset
required
uv installed
Install the uv/uvx Python package manager
https://github.com/astral-sh/uv

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `bigquery-mcp` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Google Cloud project with BigQuery** — A GCP project with BigQuery permissions and gcloud auth configured. (https://cloud.google.com/bigquery/docs/quickstarts/query-public-dataset-console#query_a_public_dataset)
- **uv installed** — Install the uv/uvx Python package manager (https://github.com/astral-sh/uv)

Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["sl-bigquery-mcp","--dataset","<your-bq-dataset>","--project","<your-gcp-project>"]

Note: Authenticates to BigQuery via the ambient Google Cloud CLI auth / ADC.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Authenticates to BigQuery via the ambient Google Cloud CLI auth / ADC.