Connect your data to Gemini

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

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.

Connect Gemini
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"
        }
      }
    }
  ]
}

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.