"Agent Creation and Orchestration" matching MCP servers:

AGENTS.md + skills orchestration with CHP Profile A R0/adversary gates. @cubiczan/agent-conductor

MCP server that exposes a pool of Claude SDK agents as tools, enabling deterministic agent creation, retrieval, and resumption from a capability corpus.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.

Enables AI assistants to interact with Notion workspaces through MCP, supporting database queries, page creation, web searches, and agent workflows with human-in-the-loop task approval.

An orchestration platform for deploying parallel swarms of tool-enabled AI agents to perform complex tasks like code generation, system monitoring, and multi-perspective analysis. It features a unique chunked write pattern that enables the creation of large-scale documents and code files by assembling parallel agent outputs.

Enables orchestration of worker registration, capability-based task dispatch, heartbeat telemetry, automatic circuit breaking, and checkpoint recovery for distributed agent operations.

Provides tools for coordinating AI agent work on one machine through a local SQLite-backed queue and kanban, including task creation, atomic claiming, lease renewal, completion/failure, listing, comments, and cancellation.

Enables structured multi-agent workflows across AI coding providers by managing documents, tracked tasks, handoffs, health evidence, and MCP-owned task/action state. It supports spec creation, implementation coordination, review, triage, and health-gated completion.

A task orchestration system for AI agent teams that provides a Kanban dashboard and 12 MCP tools to manage multi-step workflows with DAG dependencies. It enables agents to coordinate through task threads, automated retries, and real-time webhook notifications.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Enables document search, record lookup, and text analysis over MCP with scoped permissions and LangGraph agent orchestration, served via FastAPI.

Enables local multi-agent orchestration where worker agents produce evidence and Codex acts as the sole decision authority for approving, rejecting, or completing jobs.

MCP client for AgentRelay, enabling local Codex agents to communicate with an AgentRelay HTTP relay for agent orchestration and task management.

Enables multi-model leader-worker agent orchestration, workflow execution, and deterministic validation via structured MCP tools.

Enables creation and deployment of AI agents through natural language by providing tools for agent specification, smart component integration from 500+ ready-to-use components, and one-click deployment with intelligent auto-configuration.

Enables real-time communication and orchestration of multiple AI agents with a web dashboard for monitoring agent activities, tasks, and artifacts.

Exposes ontology reasoning and domain-adapter tools so agents can perform capability matching, task orchestration, assignment, consistency checking, and generic OWL/SPARQL queries against loaded ontologies.

A Model Context Protocol (MCP) server that enables multiple AI agents to share memory, coordinate tasks, and collaborate effectively across IDEs and CLI tools.

MCP server that manages interactive CLI agent pools using tmux, enabling creation, control, and communication with agents like Claude and Codex.