Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"bigquery": {
"args": [
"sl-bigquery-mcp",
"--dataset",
"bigquery-public-data.usa_names",
"--project",
"🚨 <projectName> 🚨"
],
"command": "uvx"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server for Google BigQuery that enables AI agents to interact with BigQuery databases through natural language queries and schema exploration.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'executable' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked executable against OSV.dev.
Click any tool to inspect its schema.
tablesList all tables available to the agent
bigquery://tables
table_schemaGet the schema of a specific table
bigquery://tables/{table}/schema
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A Model Context Protocol (MCP) server for Google BigQuery that enables AI agents to interact with BigQuery databases through natural language queries and schema exploration.
This project was developed by Snow Leopard AI as a benchmarking tool for our platform, and we're making it publicly available for the community to use and build upon.
The Model Context Protocol (MCP) is an open standard that allows AI applications to securely connect to external data sources and tools. This BigQuery MCP server acts as a bridge between AI agents and your BigQuery datasets.
| Resource URI | Description |
|---|---|
bigquery://tables | List all tables available to the agent |
bigquery://tables/{table}/schema | Get the schema of a specific table |
| Tool | Description |
|---|---|
list_tables(table: str) (optional) | List available tables |
get_schema(table: str) (optional) | Get the schema of a given table |
query(sql: str) | Execute BigQuery SQL and return results |
Before getting started, ensure you have:
First, we need to authenticate with Google.
gcloud auth application-default login
This opens your browser to authenticate your local machine with Google Cloud.
Edit your claude_desktop_config.json file to add the BigQuery MCP server.
Application: Claude > Settings > Developer > Edit Config
Mac: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\\Claude\\claude_desktop_config.json
You will need to set your project to a Google Cloud project with permissions to submit bigquery jobs. If you do not have a project that you can run bigquery jobs on, create and test one by following Google's BigQuery Quickstart Guide Create a project and follow the instructions to query a public dataset.
{
"mcpServers": {
"bigquery": {
"command": "uvx",
"args": [
"sl-bigquery-mcp",
"--dataset",
"bigquery-public-data.usa_names",
"--project",
"🚨 <projectName> 🚨"
]
... [View full README on GitHub](https://github.com/SnowLeopard-AI/bigquery-mcp#readme)