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DamilolaAdegunwa

MCP Cloud Infrastructure & Terraform Manager

by DamilolaAdegunwa
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

MCP Cloud Infrastructure & Terraform Manager

CI Pipeline

Google ADK Master Curriculum — Track 3: MCP (Model Context Protocol) & Tool Ecosystems (Application 12 of 40)

Architectural Overview

Custom ADK MCP server integration providing Terraform HCL plan generation, drift detection, and strict human confirmation approval barriers.

Google ADK Primitives Featured

  • Agent

  • mcp_tool

  • ToolConfirmation

Related MCP server: MCP CloudOps IaC Rules Server

System Architecture

graph TD
    User["Client / Event Stream"] --> Gateway["ADK Runtime / FastApi Server"]
    Gateway --> Agent["adk-mcp-cloud-infrastructure-manager (Root Agent)"]
    Agent --> Tools["Specialized Domain Tools"]
    Tools --> External["External Systems / Google Cloud APIs"]

Project Structure

.
├── agent.py              # Google ADK agent definition
├── config.py             # Environment & model configurations
├── tools/                # Specialized domain tools
├── tests/                # Automated pytest suite
├── main.py               # Application entrypoint
├── Dockerfile            # Container deployment
└── .github/workflows/    # Automated CI verification

Running Locally

# 1. Install dependencies
pip install -r requirements.txt

# 2. Configure credentials
export GOOGLE_API_KEY="your-gemini-api-key"

# 3. Run application
python main.py

Running Tests

pytest tests/

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • MCP CloudOps IaC Rules Server

    somospragma
    F
    license
    Not graded
    quality
    D
    maintenance
    Enables the validation and generation of Terraform Infrastructure as Code according to Pragma CloudOps standards, covering security, structure, and documentation rules. It provides specialized tools for automated compliance reporting, security auditing, and standardized template generation.
    -

  • CloudOps OS MCP

    saihardhikreddy
    A
    license
    Not graded
    quality
    B
    maintenance
    Autonomous multi-agent pipeline that analyzes Terraform files for cost, governance, and compliance issues, providing real-time remediation and XAI console for human-in-the-loop approval.
    MIT