MCP/Agentic data engineeringData Platform Engineer

How do I do agentic data engineering with an AI agent?

Through Bruin MCP an agent can build and maintain pipelines against governed assets: it sees lineage and checks, writes SQL and Python assets, and runs them, all within the guardrails you define.

Command

bruin mcp

Defined in

MCP + YAML

Works with

Any MCP client + Bruin

What you get

Agent-authored assetsgoverned guardrailslineage-aware

How it works in code

{
  "mcpServers": {
    "bruin": {"command": "bruin", "args": ["mcp"]}
  }
}

Run bruin mcp and the agent builds and maintains pipelines within your guardrails.

Give agents governed data

Open source. Expose assets, quality, and lineage to AI agents over MCP.

Sign up to our newsletter

Practical updates on open-source data pipelines, AI analysts, governance, and what we are shipping at Bruin.

The signup form is hosted by Brevo. Accept cookies to load it.