8 boosters for "deployments" — open source, verified from GitHub, ready to install
Copilot instructions for the bicep-deploy GitHub Action that guides developers through pre-commit workflows and repository structure for Azure Bicep deployments. Useful for teams automating infrastructure-as-code deployments on Azure.
"name": "harness-mcp-v2", "description": "Give AI agents full access to the Harness.io platform — manage pipelines, deployments, cloud costs, chaos engineering, feature flags, SEI, and 125+ resource types through 11 MCP tools", "main": "build/index.js",
DeployEx is a Windsurf prompt that enforces Elixir best practices and architectural rules for AWS deployments using Terraform and Ansible, helping teams maintain consistent code quality and deployment patterns.
Project: platform-agents is a production deployment initiative for an OSSA v0.3.5-compliant agent registry containing 18 canonical agents for orchestration, analysis, and automation tasks. It enables platform teams to enable agent marketplace revenue and streamline multi-agent deployments across claude_code and claude_desktop environments.
A comprehensive MongoDB security and administration agent that teaches and implements authentication methods (SCRAM/X.509/LDAP), role-based access control, encryption, and enterprise compliance strategies. Ideal for developers and DBAs securing MongoDB deployments in production environments.
Cloud-architect is an AI agent that designs scalable AWS/Azure/GCP infrastructure, implements Terraform IaC, and optimizes cloud costs for teams managing multi-region deployments and serverless architectures. It's ideal for DevOps engineers, cloud architects, and development teams planning infrastructure or migrations.
A Kubernetes specialist agent that provides expert guidance on container orchestration, cluster management, and cloud-native deployments. DevOps engineers and platform teams benefit from access to comprehensive Kubernetes knowledge across the entire ecosystem.
The Dynatrace Expert Agent automates observability and security analysis within GitHub workflows, helping development teams investigate incidents, detect performance regressions, and manage vulnerabilities without leaving their repository. It benefits DevOps engineers, security teams, and developers working with Dynatrace-monitored applications.
