# How to integrate Google BigQuery MCP with OpenCode

```json
{
  "title": "How to integrate Google BigQuery MCP with OpenCode",
  "toolkit": "Google BigQuery",
  "toolkit_slug": "googlebigquery",
  "framework": "OpenCode",
  "framework_slug": "opencode",
  "url": "https://composio.dev/toolkits/googlebigquery/framework/opencode",
  "markdown_url": "https://composio.dev/toolkits/googlebigquery/framework/opencode.md",
  "updated_at": "2026-05-06T08:14:12.235Z"
}
```

## Introduction

### How to integrate Google BigQuery MCP with OpenCode
This guide explains how to connect Google BigQuery MCP to OpenCode using Composio Connect, which simplifies OAuth, API changes, and reliability concerns.
There are two ways to set this up:
- Via [Composio Connect MCP](https://dashboard.composio.dev/)
- Via the [Composio CLI](https://dashboard.composio.dev/)

## Also integrate Google BigQuery with

- [ChatGPT](https://composio.dev/toolkits/googlebigquery/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/googlebigquery/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/googlebigquery/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlebigquery/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlebigquery/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlebigquery/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlebigquery/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlebigquery/framework/vscode)
- [OpenClaw](https://composio.dev/toolkits/googlebigquery/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlebigquery/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlebigquery/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlebigquery/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlebigquery/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlebigquery/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlebigquery/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/googlebigquery/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlebigquery/framework/crew-ai)

## TL;DR

### Why use Composio?
Composio provides a single MCP server or CLI tool that exposes a set of meta-tools, allowing you to:
- Connect to 1,000+ apps with on-demand tool loading, so you do not fill your LLM context window with unnecessary tool definitions.
- Use programmatic tool calling through a remote Bash tool, letting LLMs write their own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
- Handle large tool responses outside the LLM context to keep conversations lean.

## Connect Google BigQuery to OpenCode

### Connect Google BigQuery with OpenCode
### Option 1: Using Composio CLI
### 1. Install Composio CLI
Install the Composio CLI, authenticate, and initialize your project:

```bash
# Install the Composio CLI
curl -fsSL https://composio.dev/install | bash

# Authenticate with Composio
composio login
```

## What is the Google BigQuery MCP server, and what's possible with it?

The Google BigQuery MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Google BigQuery account. It provides structured and secure access to your data warehouse, so your agent can perform actions like running SQL queries, analyzing datasets, extracting insights, and automating reporting on your behalf.
- Instant SQL query execution: Have your agent run complex analytical queries on any of your BigQuery datasets and get results in real time.
- Custom data analysis and reporting: Instruct your agent to generate summaries, trends, or statistics by querying specific tables or views.
- Automated data extraction: Let your agent fetch and transform data for integration with other tools or for further analysis.
- Interactive business intelligence: Enable your agent to answer ad hoc data questions, visualize aggregated data, or pull specific metrics from massive datasets instantly.
- Streamlined workflow automation: Use your agent to automate recurring BigQuery tasks, such as daily audits or data slice generation, without manual effort.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GOOGLEBIGQUERY_QUERY` | Query | Query tool will run a sql query in bigquery. note: make sure the query being input in a single line format. for example, select * from sample dataset.sample table where column name = 'value' |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, OpenCode can access the Google BigQuery MCP server via Composio to run the app actions you authorize, directly from your coding workflow.

## Complete Code

None listed.

## Conclusion

### Way Forward
Now that Google BigQuery is connected, extend your setup by connecting the other apps you already use every day, so your agent can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single MCP endpoint, your agent can coordinate multiple tools safely and reliably in one conversation.

## How to build Google BigQuery MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/googlebigquery/framework/chatgpt)
- [OpenAI Agents SDK](https://composio.dev/toolkits/googlebigquery/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/googlebigquery/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/googlebigquery/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/googlebigquery/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/googlebigquery/framework/codex)
- [Cursor](https://composio.dev/toolkits/googlebigquery/framework/cursor)
- [VS Code](https://composio.dev/toolkits/googlebigquery/framework/vscode)
- [OpenClaw](https://composio.dev/toolkits/googlebigquery/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/googlebigquery/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/googlebigquery/framework/cli)
- [Google ADK](https://composio.dev/toolkits/googlebigquery/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/googlebigquery/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/googlebigquery/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/googlebigquery/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/googlebigquery/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/googlebigquery/framework/crew-ai)

## Related Toolkits

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- [Tavily](https://composio.dev/toolkits/tavily) - Tavily offers powerful search and data retrieval from documents, databases, and the web. It helps teams locate and filter information instantly, saving hours on research.
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- [Snowflake](https://composio.dev/toolkits/snowflake) - Snowflake is a cloud data warehouse built for elastic scaling, secure data sharing, and fast SQL analytics across major clouds.
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- [ClickHouse](https://composio.dev/toolkits/clickhouse) - ClickHouse is an open-source, column-oriented database for real-time analytics and big data processing using SQL. Its lightning-fast query performance makes it ideal for handling large datasets and delivering instant insights.
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- [Datagma](https://composio.dev/toolkits/datagma) - Datagma delivers data intelligence and analytics for business growth and market discovery. Get actionable market insights and track competitors to inform your strategy.
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- [Elasticsearch](https://composio.dev/toolkits/elasticsearch) - Elasticsearch is a distributed, RESTful search and analytics engine for all types of data. It delivers fast, scalable search and powerful analytics across massive datasets.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Google BigQuery MCP?

With a standalone Google BigQuery MCP server, the agents and LLMs can only access a fixed set of Google BigQuery tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google BigQuery and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenCode?

Yes, you can. OpenCode fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Google BigQuery tools.

### Can I manage the permissions and scopes for Google BigQuery while using Tool Router?

Yes, absolutely. You can configure which Google BigQuery scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Google BigQuery data and credentials are handled as safely as possible.

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