Bigquery AI Agent Skills
Browse AI agent skills tagged "Bigquery". Find and install skills, MCP servers, and plugins for your AI coding assistant.
5 listings
MCP Toolbox for Databases
MCP Toolbox for Databases is an open source MCP server for databases. It enables you to develop tools easier, faster, and more securely by handling the complexities such as connection pooling, authentication, and more. This README provides a brief overview. For comprehensive details, see the full documentation. - Why Toolbox? - General Architecture - Getting Started - Installing the server - Runni
Core Philosophy: Connect, Unify, Respond
Contact us for a Demo Community Slack MindsDB enables humans, AI, agents, and applications to get highly accurate answers across large scale data sources. MindsDB is an open-source server that can be deployed anywhere - from your laptop to the cloud, and everywhere in between. And yes, you can customize it to your heart's content. Using Docker Desktop. This is the fastest and recommended way to ge
BigQuery MCP Server
MCP ServerThis is a server that lets your LLMs (like Claude) talk directly to your BigQuery data! Think of it as a friendly translator that sits between your AI assistant and your database, making sure they can chat securely and efficiently. No more writing SQL queries by hand - just chat naturally with your data! This server uses the Model Context Protocol (MCP), which is like a universal translator for AI
BigQuery MCP server
MCP ServerA Model Context Protocol server that provides access to BigQuery. This server enables LLMs to inspect database schemas and execute queries. 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 The server can be configured either with command li
JSON query
The semantic engine for MCP clients. Define metrics once, query from anywhere. Docs · Getting Started · Changelog · Discord · Bonnard is an agent-native semantic layer CLI. Deploy an MCP server and governed analytics API in minutes -for AI agents, BI tools, and data teams. Define metrics and dimensions in YAML, validate locally, and ship to production. Works with Snowfl