Sequel

How to Connect BigQuery to Gemini

Query your BigQuery data directly from Gemini using Sequel’s MCP server. Ask questions in plain English, with no SQL, no dashboards, and no context switching.

Short answer

Connect BigQuery to Sequel, then add Sequel's MCP server to Gemini using the config on this page. Gemini can then query your live BigQuery data in plain English, with no connector code and no CSV exports. Both steps take a few minutes.

Example prompts

Everything you can ask Gemini about your BigQuery data.

Ask in plain English — Sequel translates it into a BigQuery query, runs it, and Gemini hands back the answer. No SQL, no dashboards, no CSV exports.

What you can ask Gemini
  • What are the top 10 events by count this week?
  • Show me daily revenue for the past 30 days as a line chart
  • Which users had the highest session count last month?
  • What's the p95 query latency by dataset over the past 7 days?
  • List all tables in my analytics dataset with row counts

How it works

Three steps to get started

1

Connect BigQuery to Sequel

In your Sequel dashboard, go to Connections and add BigQuery. Sequel handles authentication and schema discovery automatically.

2

Add Sequel to the agent

Copy the Sequel MCP configuration into Gemini's settings file (shown below). Swap in your API key from Settings → API Keys.

3

Ask Gemini about your data

Restart Gemini and start asking questions. "What are the top 10 events by count this week?" — and get a real answer backed by live BigQuery data.

Why Gemini

What Gemini does with your BigQuery data

Ground Gemini in your real data

Gemini with Sequel fetches live data from your databases before answering. Every number in the response is pulled from your actual data — not estimated or hallucinated.

Multi-modal analysis

Combine Gemini's multi-modal reasoning with Sequel's data access. Ask Gemini to analyze trends in your database data and produce a written summary, chart description, or presentation outline.

Build grounded AI apps faster

Developers building on the Gemini API can use Sequel as a data-access tool, giving their apps real-time database access without building custom integrations for every data source.

Configuration

Add Sequel to Gemini

Place this in Google AI Studio or Gemini API and replace sql_your_api_key with a key from Settings → API Keys.

Google AI Studio or Gemini API

# Gemini API (tool_config)
{
  "tool_config": {
    "function_calling_config": {
      "mode": "AUTO"
    }
  },
  "tools": [
    {
      "url_context": {
        "mcp_server_url": "https://api.sequel.sh/mcp",
        "headers": {
          "Authorization": "Bearer sql_your_api_key"
        }
      }
    }
  ]
}

Install

Install BigQuery MCP in Gemini

Pick your app and Sequel installs itself: a one-click link where the client supports it, that client’s own few steps where it doesn’t. Every route signs in with your Sequel account over OAuth, so there is no API key to copy and nothing to keep in sync.

Already have an MCP client?

https://api.sequel.sh/mcp

Add it as a remote (streamable HTTP) server and sign in when prompted. Skills come with it; nothing else to install. Manual setup per client

Add Sequel to Gemini CLI

Terminal

gemini mcp add --transport http sequel https://api.sequel.sh/mcp
  1. 1Run the command in your terminal. Add --scope user to add it to every project.
  2. 2Start Gemini CLI and run /mcp auth sequel. Sign in in the browser.
  3. 3Run /mcp to see the tools, then ask a question.

Other AI agents

Connect BigQuery MCP to any agent

Claude

Use Claude to query your databases, explore schemas, and build analyses — all from one conversation.

Cursor

Query your databases and explore schemas without leaving your code editor.

ChatGPT

Connect ChatGPT to your databases and get data-backed answers in every conversation.

VS Code

Get database access inside VS Code Copilot without leaving your editor.

Windsurf

Give Windsurf's Cascade AI access to your databases — query data without leaving your editor.

Zed

Connect Zed's AI assistant to your databases for real-time data access while you code.

Gemini

Connect Google Gemini to your databases for grounded, data-backed answers.

Claude Code

Query your databases directly from the Claude Code CLI — without leaving your terminal.

Codex

Give OpenAI Codex CLI real-time database access for data-grounded coding sessions.

OpenClaw

Turn your self-hosted OpenClaw agent into a data analyst that queries every source you've connected.

Hermes

Give Nous Research's Hermes agent read access to every database and marketing tool you've connected.

Grok Bot

Tell your Grok bot to add Sequel and it can query every database and marketing tool you've connected.

Muse

Give Meta's Muse one message and it builds its own connector to every source you've put in Sequel.

dots

Add Sequel once in ChatGPT and your dot can answer data questions on its own, day and night.

Other data sources

Connect other sources to Gemini

PostgreSQL

Query your PostgreSQL database in plain English. No SQL required.

MySQL

Instant insights from your MySQL database. Ask in plain English.

ClickHouse

Real-time analytics on ClickHouse at any scale, in plain English.

Google Sheets

Query, write, and manage Google Sheets with AI.

Google Analytics 4

Ask your GA4 data anything. No SQL, no dashboards.

Google Search Console

Unlock your SEO data with natural language. No exports, no pivot tables.

MCP Server

Connect any MCP-compatible server and query it with AI in seconds.

Stripe

Ask your Stripe data anything. MRR, churn, refunds — answered in plain English.

Polar

Ask your Polar revenue, subscriptions, and usage data anything — in plain English.

Dodo Payments

Ask questions about payments, subscriptions, refunds and payouts in plain English.

PostHog

Ask your PostHog product data anything — with HogQL under the hood.

Mixpanel

Conversational analytics on your Mixpanel events, funnels, and retention.

Amplitude

Query your Amplitude taxonomy, funnels, and dashboards in plain English.

HubSpot

Your AI analyst for HubSpot contacts, deals, tickets, and pipelines.

Ahrefs

Ask your Ahrefs SEO data anything: backlinks, keywords, and traffic.

Apollo.io

Ask your Apollo.io prospects, contacts, and accounts anything, in plain English.

Cloudflare D1

Ask your Cloudflare D1 database questions in plain English.

Instagram

Instagram organic analytics — post engagement, reach, and audience insights in plain English.

Frequently asked questions

How do I connect BigQuery to Gemini?

You need two things: (1) connect BigQuery to Sequel in your Sequel dashboard under Connections, and (2) add the Sequel MCP config to Gemini using the setup shown above. Once both are done, Gemini can query your BigQuery data directly.

What BigQuery data can Gemini access?

Gemini can access any data available through your BigQuery connection in Sequel. Use Sequel's search tool to discover available metrics and dimensions, then execute queries to pull the data you need.

Is my BigQuery data sent to Gemini's servers?

Query results are returned to Gemini as context within your conversation. Only the data you explicitly ask about is retrieved. Sequel never stores your query results permanently — they exist only for the duration of the tool call.

Do I need a Sequel account?

Yes. You need a Sequel account to connect BigQuery and generate an API key. Sign up free at sequel.sh — no credit card required. Then create a connection to BigQuery and generate an API key from Settings → API Keys.

Can I connect multiple BigQuery accounts?

Yes. Sequel supports multiple connections of the same type. If you have multiple BigQuery accounts or properties, add each as a separate connection in Sequel. Gemini will be able to query all of them.

How do I connect Gemini to Sequel?

Gemini's MCP support is available through Google AI Studio and the Gemini API. In AI Studio, go to Settings → Extensions and add the Sequel MCP server URL. For the API, include the MCP server in your tool_config as shown above.

Which Gemini models support MCP?

MCP tool use is supported on Gemini 1.5 Pro, Gemini 2.0 Flash, and newer models. Check Google's latest documentation for the current list of models with MCP/tool use support.

Can I use Sequel with Gemini in Google Workspace?

Gemini for Google Workspace (Docs, Sheets, Gmail) has a different extension model. Sequel MCP currently targets the Gemini API and AI Studio. Enterprise Workspace integrations may be available in future.

Is this suitable for building production apps with Gemini?

Yes. You can use Sequel MCP in Gemini API applications by passing it as a tool. This is ideal for building internal tools, dashboards, or customer-facing AI features that need real database access.

Do I need a service account key to connect BigQuery?

No. Sequel uses Google OAuth 2.0, so you authorize with your Google account directly — no JSON key files required. Sequel requests read-only access (bigquery.readonly scope) so it can only run SELECT queries.

What is a GCP Project ID and where do I find it?

The GCP Project ID is the unique identifier for your Google Cloud project (e.g. my-company-analytics-123). You can find it in the Google Cloud Console at the top of the dashboard, or by running `gcloud config get-value project` in your terminal.

Does Sequel support BigQuery legacy SQL?

No. Sequel generates standard SQL (GoogleSQL) only. Legacy SQL is deprecated by Google and is not supported.

Will Sequel see all my BigQuery datasets and tables?

Sequel will list all datasets your Google account has access to within the connected project. You can restrict schema introspection to specific datasets from the connection settings after connecting.

Connect BigQuery to Gemini today

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