Google BigQuery MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Google BigQuery through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"google-bigquery": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Google BigQuery Agent",
instructions:
"You help users interact with Google BigQuery " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Google BigQuery?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Google BigQuery MCP Server
Connect your Google BigQuery data warehouse to any AI agent and empower it to act as a fractional data analyst. Traverse structured schemas, audit data pipelines, and execute complex aggregations over petabytes of data purely through conversational prompts.
Mastra's agent abstraction provides a clean separation between LLM logic and Google BigQuery tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Execute Queries — Prompt natively structural Data Analytics requests and allow the LLM to write, run, and summarize exact
Standard SQLinstantly - Discover Schemas — Inspect deep table column mappings, discovering strict clustering logic and native partitioning limits
- Audit Workloads — Paginate recent cluster jobs, identify heavily delayed computations globally, and read bytes explicitly processed by runs
- Dataset Topologies — Traverse nested datasets logically mapping GCP access properties recursively
- Performance Troubleshooting — Read exact job error traces directly confirming syntax failures natively
The Google BigQuery MCP Server exposes 7 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Google BigQuery to Mastra AI via MCP
Follow these steps to integrate the Google BigQuery MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Google BigQuery via MCP
Why Use Mastra AI with the Google BigQuery MCP Server
Mastra AI provides unique advantages when paired with Google BigQuery through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Google BigQuery without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Google BigQuery tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Google BigQuery + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Google BigQuery MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Google BigQuery, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Google BigQuery as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Google BigQuery on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Google BigQuery tools alongside other MCP servers
Google BigQuery MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Google BigQuery to Mastra AI via MCP:
execute_query
Run an explicit BigQuery Standard SQL command
get_dataset
Get exact details of a specific BigQuery dataset
get_job
Get complete details of a specific BigQuery Job run
get_table
Get explicit metadata and schema details of a pure BigQuery Table
list_datasets
List all explicit Datasets in the active GCP project
list_jobs
List recent explicit BigQuery runtime Jobs securely
list_tables
List explicit Tables natively contained within a Dataset
Example Prompts for Google BigQuery in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Google BigQuery immediately.
"Get the table schema for `users_prod` in the `analytics` dataset."
"Find out the top 3 countries with the most signups this month in the `users` table."
"Did the overnight cron job compute successfully or did it fail?"
Troubleshooting Google BigQuery MCP Server with Mastra AI
Common issues when connecting Google BigQuery to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGoogle BigQuery + Mastra AI FAQ
Common questions about integrating Google BigQuery MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Google BigQuery with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Google BigQuery to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.