AI agents

Apart from manually creating your projects and integrating them in your app, you can use AI agents to both, build and consume, Tinybird projects.

Build Tinybird projects with agents

Use agents to generate, refine, and test Tinybird projects as code.

  • Tinybird Code turns natural language requests into datafiles, endpoints, and deployments.
  • Agent skills add Tinybird-specific guidance to your coding agents.

Query Tinybird data with agents

Every Tinybird workspace is a fully managed remote MCP server you can connect to.

The Tinybird remote MCP server enables AI agents to connect directly to your workspace to use endpoints as tools or execute queries. The Model Context Protocol gives AI assistants access to your analytics APIs, data sources, and endpoints through a standardized interface.

This integration is ideal when you want AI agents to autonomously query your data, call your analytics endpoints, or build data-driven applications without requiring manual API integration.

Our server only supports Streamable HTTP as the transport protocol. If your MCP client doesn't support it, you'll need to use the mcp-remote package as a bridge.

For practical examples and guardrails, see MCP examples and MCP best practices.

See also

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