Agent Orchestrator Mcp
Orchestrate multiple MEOK-compatible agents and MCP tools from one MCP server while you ship agent-native products.
Overview
Agent Orchestrator MCP is a MCP server for the Build phase that lets your coding agent coordinate multi-step MEOK agent workflows through stdio MCP tools.
What is this MCP server?
- MEOK AI Labs agent-orchestrator-mcp for coordinating agent workflows over MCP
- Stdio MCP package agent-orchestrator-mcp v1.0.3 on PyPI
- GitHub repository CSOAI-ORG/agent-orchestrator-mcp for implementation details
- Pairs naturally with agent-mcp-router-mcp for large MEOK fleets
- Central place to trigger multi-step agent runs from Claude Code or Cursor
- Version 1.0.3 stdio package on PyPI with GitHub source CSOAI-ORG/agent-orchestrator-mcp
What problem does it solve?
Solo builders waste context window and time manually babysitting chains of agent steps that should be one orchestrated run.
Who is it for?
Builders composing several MEOK MCP agents who want a single orchestration entry point in Claude Code or Cursor.
Skip if: Simple single-tool projects that never spawn secondary agents or long-running graphs.
What do I get? / Deliverables
After registration, your primary agent can start, advance, and manage orchestrated worker flows via dedicated MCP tools.
- Orchestration MCP tools for starting and managing agent workflow runs
- Repeatable multi-agent execution path wired into your dev or prod agent host
Recommended MCP Servers
Journey fit
Orchestration is core agent infrastructure you install during build, then rely on in operate when the same graph runs in production. Agent-tooling captures directed graphs, worker spawning, and step sequencing exposed as MCP tools.
How it compares
Agent workflow orchestrator MCP, not a CI pipeline skill or a static project plan document.
Common Questions / FAQ
Who is agent-orchestrator-mcp for?
It is for solo builders and small teams who run multi-agent MEOK stacks and need MCP-native orchestration from their main coding agent.
When should I use agent-orchestrator-mcp?
Use it when building agent-tooling that requires sequenced or parallel agent steps, and keep it wired in operate when those graphs run against live infra.
How do I add agent-orchestrator-mcp to my agent?
Install agent-orchestrator-mcp from PyPI, configure stdio in your MCP host, and follow CSOAI-ORG/agent-orchestrator-mcp on GitHub for orchestration tools and env vars.