Last update: 2026-01-29T22:06:15.000Z
Content:
---
title: "AI agents · Tinybird Docs"
theme-color: "#171612"
description: "Interact with Tinybird via AI agents."
inkeep:version: "forward"
---




# AI agents [¶](https://www.tinybird.co/docs/forward/analytics-agents#ai-agents)

Copy as MD 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 [¶](https://www.tinybird.co/docs/forward/analytics-agents#build-tinybird-projects-with-agents)

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

- [  Tinybird Code](/docs/forward/tinybird-code)   turns natural language requests into datafiles, endpoints, and deployments.
- [  Agent skills](/docs/analytics-agents/agent-skills)   add Tinybird-specific guidance to your coding agents.

## Query Tinybird data with agents [¶](https://www.tinybird.co/docs/forward/analytics-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](https://modelcontextprotocol.io/) 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](/docs/analytics-agents/mcp-server-snippets) and [MCP best practices](/docs/analytics-agents/best-practices).

## See also [¶](https://www.tinybird.co/docs/forward/analytics-agents#see-also)

- Learn about the[  MCP server](/docs/analytics-agents/mcp)   tools
- Check some[  example snippets](/docs/analytics-agents/mcp-server-snippets)
- Learn about[  best practices](/docs/analytics-agents/best-practices)   to use MCP server for AI agents.


