Skip to main content

Python-based MCP (Model Context Protocol) server that retrieves dataset, table, and schema information from Google Cloud BigQuery

Project description

BigQuery MCP Server

Python Version Framework

This is a Python-based MCP (Model Context Protocol) server that retrieves dataset, table, and schema information from Google Cloud BigQuery, caches it locally, and serves it via MCP. Its primary purpose is to enable generative AI systems to quickly understand BigQuery's structure and execute queries securely.

Key Features

  • Metadata Management: Retrieves and caches information about BigQuery datasets, tables, and columns
  • Keyword Search: Supports keyword search of cached metadata
  • Secure Query Execution: Provides SQL execution capabilities with automatic LIMIT clause insertion and cost control
  • MCP Compliance: Offers tools via the Model Context Protocol

MCP Server Tools

Available tools:

  1. get_datasets - Retrieves a list of all datasets
  2. get_tables - Retrieves all tables within a specified dataset (requires dataset_id, optionally accepts project_id)
  3. search_metadata - Searches metadata for datasets, tables, and columns
  4. execute_query - Safely executes BigQuery SQL queries with automatic LIMIT clause insertion and cost control
  5. check_query_scan_amount - Retrieves the scan amount for BigQuery SQL queries

Installation and Environment Setup

Prerequisites

  • Python 3.11 or later
  • Google Cloud Platform account
  • GCP project with BigQuery API enabled

Install

uv

uv add bq_mcp_server

pip

pip install bq_mcp_server

Installing Dependencies

This project uses uv for package management:

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install dependencies
uv sync

Configuring Option

For a list of configuration values, see:

docs/settings.md

MCP Setting

Claude Code

claude mcp add bq_mcp_server -- uvx --from git+https://github.com/takada-at/bq_mcp_server bq_mcp_server --project-ids <your project ids>

JSON

{
    "mcpServers": {
        "bq_mcp_server": {
            "command": "uvx",
            "args": [
                "--from",
                "git+https://github.com/takada-at/bq_mcp_server",
                "bq_mcp_server",
                "--project-ids",
                "<your project ids>"
            ]
        }
    }
}

Running Tests

Running All Tests

pytest

Running Specific Test Files

pytest tests/test_logic.py

Running Specific Test Functions

pytest -k test_function_name

Checking Test Coverage

pytest --cov=bq_mcp_server

Local Development

Starting the MCP Server

uv run bq_mcp_server

Starting the FastAPI REST API Server

uvicorn bq_mcp_server.adapters.web:app --reload

Development Commands

Code Formatting and Linting

# Code formatting
ruff format

# Linting checks
ruff check

# Automatic fixes
ruff check --fix

Dependency Management

# Adding new dependencies
uv add <package>

# Adding development dependencies
uv add --dev <package>

# Updating dependencies
uv sync

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

bq_mcp_server-0.1.4.tar.gz (44.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

bq_mcp_server-0.1.4-py3-none-any.whl (36.6 kB view details)

Uploaded Python 3

File details

Details for the file bq_mcp_server-0.1.4.tar.gz.

File metadata

  • Download URL: bq_mcp_server-0.1.4.tar.gz
  • Upload date:
  • Size: 44.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.6

File hashes

Hashes for bq_mcp_server-0.1.4.tar.gz
Algorithm Hash digest
SHA256 cc4b253bdd156236eb6d58001e6ff182f198cb78cfb60fe5f735e9ca7da8d343
MD5 6ff8dd667227a0867fe58d7b51b9a90d
BLAKE2b-256 7599e75e34c17a83e59a929a86a4bcde3688f884e1151ae6b0b6c0da76f8da31

See more details on using hashes here.

File details

Details for the file bq_mcp_server-0.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for bq_mcp_server-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 2dd2bd5a558abec3fb680cf22d495c0ada1e516731a8e24b7031c17996f59c24
MD5 395920642fc8a4452350ea0f59d4fa03
BLAKE2b-256 df644e07e4a8d9ccdd7cc439a0998c8278e1a85bd3f89c73aeefa2d74556b008

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page