How to Connect BigQuery to VS Code

Query your BigQuery data directly from VS Code 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 VS Code using the config on this page. VS Code 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 VS Code about your BigQuery data.

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

What you can ask VS Code
  • 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 VS Code's settings file (shown below). Swap in your API key from Settings → API Keys.

3

Ask VS Code about your data

Restart VS Code 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 VS Code

What VS Code does with your BigQuery data

Database access in Copilot Chat

Once configured, GitHub Copilot Chat can call Sequel tools to answer questions about your data. Ask about your schema, query examples, or check metrics — right in the Chat panel.

Team-wide setup with one commit

Commit .vscode/mcp.json to your repo and every developer on the team gets Sequel MCP configured automatically. Each team member provides their own API key.

Schema-aware code generation

Copilot can pull your actual database schema through Sequel and use it to generate more accurate SQL queries, migration files, and ORM models — based on what's really in your database.

Configuration

Add Sequel to VS Code

Place this in .vscode/mcp.json and replace sql_your_api_key with a key from Settings → API Keys.

.vscode/mcp.json

{
  "servers": {
    "sequel": {
      "url": "https://api.sequel.sh/mcp",
      "type": "http",
      "headers": {
        "Authorization": "Bearer sql_your_api_key"
      }
    }
  }
}

Install

Install BigQuery MCP in VS Code

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 VS Code

One click: the button above opens VS Code with Sequel pre-filled, and VS Code signs you in with your Sequel account. There is no key to paste.

Frequently asked questions

How do I connect BigQuery to VS Code?

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

What BigQuery data can VS Code access?

VS Code 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 VS Code's servers?

Query results are returned to VS Code 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. VS Code will be able to query all of them.

Does this work with GitHub Copilot in VS Code?

Yes. VS Code's MCP support is available in GitHub Copilot Chat (VS Code 1.99+). Create .vscode/mcp.json in your project root with the config above, and Sequel tools will appear in Copilot Chat.

Do I need the GitHub Copilot subscription?

VS Code MCP requires GitHub Copilot Chat (Individual, Business, or Enterprise plan). The MCP configuration itself is free; you only need a Sequel API key and a Copilot subscription.

Can I configure this globally instead of per-project?

Yes. Add the server configuration to your VS Code user settings.json under the `mcp.servers` key for global access across all projects.

Is the .vscode/mcp.json file safe to commit?

The config file is safe to commit — but never commit your actual API key in it. Use an environment variable reference or instruct team members to replace the placeholder with their own key.

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 VS Code today

Sign up free, connect your data sources, and start querying in minutes.