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Build intelligent CI/CD pipelines with GitHub Actions, AI-assisted workflow generation, automated testing, and deployment orchestration.

Kubernetes cluster management and container orchestration through MCP integration

Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.

Expert dynamic workflows capability pack applying documented /workflows monitoring, scoped orchestration prompts, and keyword trigger governance from official workflows documentation.

Expert Claude Agent SDK subagent orchestration capability pack for designing, reviewing, and rolling out Agent SDK subagent orchestration with source-backed checklists, production rules, and privacy-safe output contracts.

Offensive security MCP framework that connects AI agents to a large toolkit for authorized penetration testing, vulnerability discovery, CTF, OSINT, and security research workflows.

Official PagerDuty MCP Server for connecting Claude, Cursor, VS Code, and other MCP clients to PagerDuty incidents, services, schedules, on-call rotations, escalation policies, teams, event orchestrations, status pages, and incident-response workflows.

Agent orchestration framework for building stateful, controllable, multi-step LLM and agent workflows.

MCP Skills integration specialist for remote server configuration, tool permissions, multi-MCP orchestration, and Claude Desktop ecosystem workflows.

Modern data pipeline specialist focused on real-time streaming, ETL/ELT orchestration, data quality validation, and scalable data infrastructure with Apache Airflow, dbt, and cloud-native tools

Multi-agent orchestration specialist using LangGraph and CrewAI for complex, stateful workflows with graph-driven reasoning and role-based agent coordination

Expert automation-orchestration capability pack for designing safe, low-noise recurring Codex workflows with clear runbooks.

Manage Docker containers, images, and services directly through Claude with comprehensive Docker API integration

Official CueAPI stdio MCP server for scheduling agent work, claiming executions, and reporting evidence-backed outcomes with verified handoffs across time and environments.

Open-source AI gateway that can connect to downstream MCP servers and expose their aggregated tools through a single HTTP or SSE MCP endpoint for Claude Desktop, Cursor, and other MCP clients.

Docker's MCP CLI plugin and gateway for running catalog, OCI, registry, or local-file MCP servers in containers and exposing them to Claude, Cursor, VS Code, and other MCP clients through a shared gateway profile.

MIT-licensed Kubernetes gateway and management layer for MCP servers, with session-aware routing, adapter lifecycle APIs, tool registration, Entra ID role authorization, and optional agent/session preview resources.

MCP server that turns an AI coding agent's plan into a local interactive flowchart, approval workflow, execution tracker, branch selector, and plan history before code changes proceed.

MIT-licensed MCP proxy server that aggregates multiple downstream MCP servers behind one HTTP service, exposing each configured server through SSE or Streamable HTTP endpoints with auth tokens and tool filtering.

Open-source project behind CodeLayer, an IDE for orchestrating AI coding agents built on Claude Code, with keyboard-first workflows, team context engineering, and parallel Claude Code sessions across worktrees and cloud workers.

Dashboard, CLI, and gateway for centrally managing many MCP servers and exposing them as authenticated all-server, group, single-server, or smart routing endpoints.

Docker-deployed MCP gateway that aggregates downstream MCP servers into namespaces, endpoints, SSE, Streamable HTTP, OpenAPI, auth, and rate limits.

Provider Abstraction Layer MCP server for orchestrating multiple AI models, external AI CLIs, planning, consensus, code review, debugging, and delegated sub-agent workflows from one MCP client.

Apache-2.0 Python workflow orchestration framework for resilient data pipelines with flows, tasks, deployments, schedules, retries, caching, workers, work pools, and observability.

MIT-licensed durable execution platform for building resilient applications with Workflows, Activities, Workers, Task Queues, Namespaces, retries, schedules, and event history.

Open-source AI orchestration framework for building production-ready agents, RAG pipelines, multimodal search, retrieval, and tool-using LLM applications.

Run Claude Code dynamic workflows for large codebase audits: scoping prompts, monitoring /workflows runs, keyword triggers, and safety guardrails.

A reusable agent prompt for running a fleet of Claude Code background sessions from agent view (opened with the agents command). It triages which sessions need input, which are still working, and which have finished, then decides what to dispatch next, which to answer, and which to stop.

Create and manage specialized Claude Code subagents using the interactive /agents command or Markdown definition files in .claude/agents/, with scoped tools, model selection, and isolated context.

Slash command specialist for creating and orchestrating custom Claude workflows with dynamic arguments, conditional logic, and multi-step automation.