v0.1.6 - bump fastmcp, bq, pins

What's Changed

• chore: bump fastmcp + google-cloud-bigquery, pin packaging<26 in build by @pvoo in #12

Full Changelog: v0.1.5...v0.1.6

v0.1.4 add vector search tools for semantic similarity queries

What's Changed

• feat: add vector search tools for semantic similarity queries by @pvoo in #5
• Add vector search support to README by @pvoo in #6

Full Changelog: v0.1.3...v0.1.4

v0.1.3 - Simplify query tool, improve tool param descriptions

What's Changed

• Remove max_results parameter from run_query tool by @pvoo in #4

Full Changelog: v0.1.2...v0.1.3

v0.1.2 Improve arguments and Pypi documentation

What's Changed

• Improve arguments handling and documentation for PyPI by @pvoo in #3

Full Changelog: v0.1.1...v0.1.2

v0.1.1 - devcontainer + pypi release

What's Changed

• fix devcontainer setup by @pvoo in #1
• Prepare package for PyPI release by @pvoo in #2

New Contributors

• @pvoo made their first contribution in #1

Full Changelog: v0.1.0...v0.1.1

Release v0.1.0 - BigQuery MCP Server

🎉 Initial Release - BigQuery MCP Server

A Python implementation using FastMCP to provide BigQuery operations through the Model Context Protocol, optimized for navigating large datasets efficiently while keeping LLM context minimal.

✨ Key Features

• 🔍 Dataset Exploration: Search and filter datasets with detailed metadata
• 📊 Table Analysis: Schema inspection with sample data and fill rate analysis
• 🛡️ Safe SQL Execution: SELECT-only queries with comprehensive validation
• 🔐 Flexible Authentication: Support for ADC and service account JSON keys
• 🐳 Docker Ready: Docker setup with compose configuration
• 🧪 Test Coverage: Comprehensive test suite with integration tests
• 📋 AI Agent: BigQuery table analyst agent for intelligent data discovery

🛠️ Available Tools

• list_datasets_in_project: Browse datasets with search and filtering
• list_tables_in_dataset: Explore tables with metadata and relationships
• get_table: Detailed schema analysis with sample data and statistics
• run_query: Execute safe SELECT queries with result limiting

🏗️ Architecture Highlights

• Build on FastMCP
• Async BigQuery operations for optimal performance
• Safety-first approach with SQL validation (read-only)
• Environment-driven configuration with CLI overrides

📖 Documentation

See the README for detailed setup instructions and usage examples.