How to Connect BigQuery to Zed
Query your BigQuery data directly from Zed 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 Zed using the config on this page. Zed can then query your live BigQuery data in plain English, with no connector code and no CSV exports. Both steps take a few minutes.
Everything you can ask Zed about your BigQuery data.
Ask in plain English — Sequel translates it into a BigQuery query, runs it, and Zed hands back the answer. No SQL, no dashboards, no CSV exports.
- 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
Connect BigQuery to Sequel
In your Sequel dashboard, go to Connections and add BigQuery. Sequel handles authentication and schema discovery automatically.
Add Sequel to the agent
Copy the Sequel MCP configuration into Zed's settings file (shown below). Swap in your API key from Settings → API Keys.
Ask Zed about your data
Restart Zed 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 Zed
What Zed does with your BigQuery data
Fast editor, full data access
Zed is built for speed. Adding Sequel means you get low-latency data access alongside Zed's fast editing experience — no lag, no context switching.
Schema context for better code
Zed's AI can pull your actual database schema through Sequel and use it to generate accurate SQL, TypeScript types, and ORM models — not guesses based on training data.
Collaborative data exploration
With Zed's multiplayer editing, your whole team can share a session and explore data together. One person queries through Sequel; everyone sees the result.
Configuration
Add Sequel to Zed
Place this in ~/.config/zed/settings.json and replace sql_your_api_key with a key from Settings → API Keys.
~/.config/zed/settings.json
{
"context_servers": {
"sequel": {
"url": "https://api.sequel.sh/mcp",
"settings": {
"headers": {
"Authorization": "Bearer sql_your_api_key"
}
}
}
}
}Install
Install BigQuery MCP in Zed
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.
Claude, ChatGPT, Cursor, VS Code, Claude Code, Codex, Grok, Muse, dots and any other MCP app
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
Choose your app
Claude
One click, opens in the app
Cursor
One click, opens in the app
VS Code
One click, opens in the app
ChatGPT
Turn on developer mode, then add Sequel. About two minutes.
Claude Code
Run one command, then sign in with /mcp.
Codex
Run one command, then sign in.
Gemini CLI
Run one command, then sign in with /mcp auth.
Grok
Add Sequel as a connector and sign in.
Grok Bot
Paste this to the bot. It registers Sequel and asks you to sign in.
Muse
Muse writes its own connector. One message is the whole setup.
dots
Add Sequel in ChatGPT; your dot picks it up with no extra step.
OpenCode
Add Sequel as a remote server from the OpenCode CLI.
Other MCP app
Any client that speaks remote MCP can connect with this URL.
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 Zed
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 organic analytics — post engagement, reach, and audience insights in plain English.
Frequently asked questions
How do I connect BigQuery to Zed?
You need two things: (1) connect BigQuery to Sequel in your Sequel dashboard under Connections, and (2) add the Sequel MCP config to Zed using the setup shown above. Once both are done, Zed can query your BigQuery data directly.
What BigQuery data can Zed access?
Zed 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 Zed's servers?
Query results are returned to Zed 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. Zed will be able to query all of them.
How do I add Sequel to Zed?
Open Zed settings (Cmd+, on macOS), find the `context_servers` key, and add the Sequel configuration shown above. Restart Zed for changes to take effect.
Which Zed AI features work with Sequel MCP?
Sequel tools are available in Zed's AI panel (Assistant). You can call them from the chat interface. Support for additional Zed AI features depends on Zed's MCP integration updates.
Does Zed support HTTP MCP servers?
Yes, Zed supports MCP over HTTP (Streamable HTTP transport). The Sequel MCP endpoint uses this transport, so no extra configuration is needed.
Can I use Sequel MCP in Zed's multiplayer sessions?
MCP tools in Zed are currently per-user — each collaborator connects with their own API key. Tool call results are visible to all participants in a shared session.
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 Zed today
Sign up free, connect your data sources, and start querying in minutes.