Sequel

Connect your data to Gemini

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

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What Gemini can do with Sequel

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.

Example prompts

Everything you can ask Gemini about your data.

Ask in plain English. Sequel turns it into a query, runs it read-only, and Gemini hands back the answer. No SQL, no dashboards, no CSV exports.

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What you can ask Gemini
  • What's the current number of active subscribers in our database?
  • Show me revenue trends for the past 6 months
  • Which product categories are growing fastest this year?
  • How many support tickets were opened this week vs last week?
  • What's the average order value by customer segment?

Setup

Add Sequel to Gemini

Drop the Sequel MCP server into Gemini, then ask it anything about your connected data. Sequel is read-only by default and shows each query before it runs.

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 Sequel 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.

Data sources

Connect any source 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.

BigQuery

Query petabytes of BigQuery data 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.

Explore other AI agents

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.

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.

Frequently asked questions

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.

Put your data inside Gemini

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

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