MCP Server

Connect your data to Gemini

Use Gemini to query your databases, explore schemas, and run analyses — powered by Sequel's MCP server. Pick a data source to get started.

Setup

Add Sequel to Gemini

One config block is all it takes. Replace sql_your_api_key with a key from Settings → API Keys, then restart Gemini.

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.

Start using your data in Gemini

Generate a free API key and connect in under a minute.