Connect BigQuery MCP to your AI Agents

Query petabytes of BigQuery data in plain English.

Example prompts

Everything you can ask your agent about your BigQuery data.

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

Connect to your agent
What you can ask your agent
  • 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

Sequel CLI

Install BigQuery MCP to your agent

The Sequel CLI installs BigQuery into your coding agent in one step — it signs you in, provisions a scoped API key, and writes the right config to the right place. No keys to copy by hand.

Prefer npm? npm install -g @sequelsh/cli@latest works too.

  1. 1

    Install the Sequel CLI

    One line installs the latest CLI with whatever package manager you have.

    curl -fsSL https://sequel.sh/install | sh
  2. 2

    Sign in

    Authenticate in your browser and pick an organization.

    sequel login
  3. 3

    Install into your agent

    Run install and pick an agent from the list, or target one directly by its slug.

    sequel install
    • Claude Code
      sequel install claude-code
    • Claude
      sequel install claude
    • Cursor
      sequel install cursor
    • VS Code
      sequel install vscode
    • Windsurf
      sequel install windsurf
    • Zed
      sequel install zed
    • Codex
      sequel install codex
    • OpenClaw
      sequel install openclaw
    • Hermes
      sequel install hermes

Frequently asked questions

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.

Are there query cost implications?

Yes — BigQuery charges for bytes scanned per query. Sequel generates efficient queries, but on very large tables you may want to apply partition filters. You can add instructions in the connection settings to guide the AI to always filter by partition columns.

Start analyzing your BigQuery data today

Connect in minutes — then ask across all your data, not just one source.