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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.

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.

Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.

Initialize projects, trigger task runs, deploy to environments, and monitor execution from Claude — with the official Trigger.dev MCP server for background job and AI agent workflow orchestration.

Apache-2.0 platform for programmatically authoring, scheduling, monitoring, and operating workflow DAGs across workers, executors, providers, and task logs.

Apache-2.0 data orchestration platform for building, testing, deploying, observing, and automating data assets, jobs, schedules, sensors, and pipelines.