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MCP verified MIT Self-run

Mcp Server Bigquery

mcp-lucashild-mcp-server-bigquery · by LucasHild

A Model Context Protocol server that provides access to BigQuery

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Install

$ agentstack add mcp-lucashild-mcp-server-bigquery

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

BigQuery MCP server

[](https://smithery.ai/server/mcp-server-bigquery)

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 dialect
  • list-tables: Lists all tables in the BigQuery database
  • describe-table: Describes the schema of a specific table

Configuration

The 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. |

Installation

Installing via Smithery

To install BigQuery Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install mcp-server-bigquery --client claude

Claude Code

claude mcp add bigquery --scope user --transport stdio -- uvx mcp-server-bigquery --project {PROJECT_ID} --location {{LOCATION}}

Claude Desktop

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}}"
      }
    }
  }
}

Cursor

  1. Open Cursor Settings → MCP
  2. Click Add new global MCP server
  3. Add an entry for the BigQuery MCP, following the pattern below:
{
  "mcpServers": {
    "bigquery": {
      "command": "uvx",
      "args": ["mcp-server-bigquery"],
      "env": {
        "BIGQUERY_PROJECT": "{{GCP_PROJECT_ID}}",
        "BIGQUERY_LOCATION": "{{GCP_LOCATION}}"
      }
    }
  }
}

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.