Build anything

Your analytics stack. In your agent's hands.

Connect Claude through MCP, ask in Slack, work from your terminal with the CLI, or build on the API. Give every agent the same business context and a workspace where it can run real analysis.

ClaudeJune sales performance

How did we do on sales last month?

Using Querio → get_sales_data

Net revenue in June 2026 totaled $9.8M, up 12% from May. Here's the daily breakdown

mcp.json

{
  "mcpServers": {
    "querio": {
      "type": "http",
      "url": "app.querio.ai/mcp",
      "headers": {
        "Authorization": "Bearer "
      }
    }
  }
}
“We prompt through the MCP every week and diff the answers against golden answers. It's faster, cheaper, and I can actually do evals compared to the BigQuery MCP.”
EnverCo-founder, GrowdashGrowdash

Ask in Claude. Keep the analysis in Querio.

Start an analysis from your AI assistant, get charts and tables back, and ask follow-up questions. Open the same work in Querio to inspect the SQL and Python behind the answer.

Ask in Slack. Get the analysis, too.

Ask a data question in a channel or DM. Querio uses your business context to run SQL and Python, then brings the answer back to the conversation. Open the analysis whenever you want to inspect the work.

Slack setup guide

Build on the API.

Connect your own tools to Querio with authenticated API access. Build workflows around your workspace, or bring analysis into your product with the embedded API.

Bring analytics into your terminal.

Let Cursor or your coding agent work with Querio through the CLI. Audit boards, update workspace files and maintain context alongside the code your team already reviews.

Different tools. The same business logic.

Keep definitions, trusted queries and business rules in GitHub. Reuse that context across your agents, notebooks and dashboards so each workflow starts with what your team already knows.

Keep access and usage in view.

Protect customer data with role-based access, row-level security and audit logs, backed by SOC 2, HIPAA and ITAR compliance.

Learn more
  • Role-based permissions

    Make sure each customer only sees the data they're supposed to.

  • Use 50% fewer tokens

    Use business context to make your agent workflows more efficient.

  • Track usage and audit prompts

    See usage by user and review the prompts behind each conversation.

  • Your data stays your business

    Your data is not used to train AI models.

Put your agents to work on your data.

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