How to Connect BigQuery MCP to OpenClaw
Query your BigQuery data directly from OpenClaw using Sequel’s MCP server. Ask questions in plain English — no SQL, no dashboards, no context switching.
Everything you can ask OpenClaw about your BigQuery data.
Ask in plain English — Sequel translates it into a BigQuery query, runs it, and OpenClaw hands back the answer. No SQL, no dashboards, no CSV exports.
Connect to 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
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 the MCP config
Copy the Sequel MCP configuration into OpenClaw's settings file (shown below). Swap in your API key from Settings → API Keys.
Ask OpenClaw about your data
Restart OpenClaw and start asking questions. "What are the top 10 events by count this week?" — and get a real answer backed by live BigQuery data.
Configuration
Add Sequel to OpenClaw
Place this in ~/.openclaw/openclaw.json and replace sql_your_api_key with a key from Settings → API Keys.
~/.openclaw/openclaw.json
{
"mcp": {
"servers": {
"sequel": {
"url": "https://api.sequel.sh/mcp",
"transport": "streamable-http",
"headers": {
"Authorization": "Bearer sql_your_api_key"
}
}
}
}
}Sequel CLI
Install BigQuery MCP to OpenClaw
The Sequel CLI installs BigQuery into OpenClaw 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
Install the Sequel CLI
One line installs the latest CLI with whatever package manager you have.
curl -fsSL https://sequel.sh/install | sh - 2
Sign in
Authenticate in your browser and pick an organization.
sequel login - 3
Install into OpenClaw
One command installs Sequel into OpenClaw and writes its MCP config.
sequel install openclaw
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OpenClaw
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Hermes
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Other data sources
Connect other sources to OpenClaw
PostgreSQL
Query your PostgreSQL database in plain English. No SQL required.
MySQL
Instant insights from your MySQL database. Ask in plain English.
ClickHouse
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Google Sheets
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Google Analytics 4
Ask your GA4 data anything. No SQL, no dashboards.
Google Search Console
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MCP Server
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Stripe
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PostHog
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Mixpanel
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Amplitude
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HubSpot
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Ahrefs
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Apollo.io
Ask your Apollo.io prospects, contacts, and accounts anything — in plain English.
Frequently asked questions
How do I connect BigQuery to OpenClaw?
You need two things: (1) connect BigQuery to Sequel in your Sequel dashboard under Connections, and (2) add the Sequel MCP config to OpenClaw using the setup shown above. Once both are done, OpenClaw can query your BigQuery data directly.
What BigQuery data can OpenClaw access?
OpenClaw 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 OpenClaw's servers?
Query results are returned to OpenClaw 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. OpenClaw will be able to query all of them.
Connect BigQuery to OpenClaw today
Sign up free, connect your data sources, and start querying in minutes.