skills.rest
ivanshamaev
ivanshamaevCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

platform-engineering-agentic-control-plane

Coordinate Airflow, Kafka, and Trino operations via an MCP control plane.

14|1|Updated May 5, 2026
Search Tags:#mcp#airflow#audit logging#agentic control plane#kafka governance#trino query#tool authorization
One-click install
npx skills add https://github.com/ivanshamaev/de-agent-skills --skill platform-engineering-agentic-control-plane
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: platform-engineering-agentic-control-plane
Source: https://github.com/ivanshamaev/de-agent-skills/tree/main/group_skills/infra_dataops_group_skills/platform_engineering_agentic_control_plane
Command: npx skills add https://github.com/ivanshamaev/de-agent-skills --skill platform-engineering-agentic-control-plane

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the challenge of letting AI agents operate a data platform safely and consistently by providing a standardized control interface for platform operations (DAGs, topics, and SQL) with auditability.

Core Features & Use Cases

  • MCP control plane for platform tools: Exposes Airflow, Kafka, and Trino/dbt operations through an MCP server so any MCP-compatible agent/client can interact without custom integrations.
  • Agentic platform governance: Enables multi-agent workflows such as audit, cost, and reliability monitoring that can trigger corrective actions with reasoning for every operation.
  • Safety and observability guardrails: Implements guardrails like read-only Trino query restrictions, destructive-operation confirmation requirements, and structured run status/health checks.

Quick Start

Ask your MCP-enabled agent to trigger the orders ETL DAG for yesterday and then report the resulting DAG run status and any failures.

Frequently Asked Questions about platform-engineering-agentic-control-plane

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use MCP agents to trigger Airflow DAGs and manage Kafka topics?▼

You can use MCP agents to trigger Airflow DAGs and manage Kafka topics by deploying an agentic MCP control plane that exposes platform operations through a standardized interface with tool authorization and audit logging.

What is an agentic control plane for data platform operations?▼

An agentic control plane for data platform operations is a standardized MCP interface that enables AI agents to safely coordinate tasks across Airflow, Kafka, and Trino with governance workflows, safety validation, and audit logging.

How do I enforce read-only Trino query restrictions for AI agents?▼

You enforce read-only Trino query restrictions for AI agents by implementing safety guardrails within your MCP server, ensuring analytics queries are validated and destructive actions require explicit confirmation before execution.

Does this MCP control plane support multi-agent workflows for platform governance?▼

Yes, this MCP control plane supports multi-agent workflows for platform governance, allowing coordinated audit, cost, and reliability monitoring agents to trigger corrective actions with structured reasoning for every operation.

What is needed to safely run platform ops via MCP agents?▼

To safely run platform ops via MCP agents, you need an MCP server implementation featuring tool authorization, audit logging, safety validation for destructive actions, and reliable plan-execute-verify patterns.

Can I use natural language to trigger data pipelines and check platform health?▼

Yes, you can use natural language to trigger data pipelines and check platform health by asking your MCP-enabled agent to execute tasks like triggering an ETL DAG and reporting the resulting run status and any failures.

Related Skills

Explore More Software Engineering Skills→
ivanshamaevivanshamaev
14

platform-engineering-data-platform-api

Expose a governed FastAPI REST API for Kafka, Airflow, dbt, and Trino operations.

Community
Advanced
juanjaragavijuanjaragavi

executing-plans

Executes task plans in batches with pauses for review and approval.

Community
Intermediate
CODE-SAURABHCODE-SAURABH
2

data-engineer

Design reliable data pipelines with idempotent processing and schema validation.

Community
Advanced
Aqsagull99Aqsagull99

mcp-client

Execute MCP tool calls via a compiled Python client.

Community
Basic