Agent Orchestrator MCP

Multi-agent task management: create agents, delegate tasks with trust-based routing, coordinate f...

Multi-agent task management: create agents, delegate tasks with trust-based routing, coordinate file access, run sprints, and monitor performance.

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🚀 Quick Start

# Install via pip
pip install agent_orchestrator_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install agent-orchestrator-mcp --client claude

✨ Features

• Multi-agent task management
• Dependency resolution
• Parallel execution
• Retry & backoff
• Progress tracking

📖 Documentation

• Full Documentation
• API Reference
• EU AI Act Compliance Guide

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

• ✅ Article 9 — Risk Management System
• ✅ Article 13 — Transparency & Instructions for Use
• ✅ Article 15 — Bias Detection & Testing
• ✅ Article 26 — FRIA Support (where applicable)
• ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

• Pro: $99/mo — Full MCP suite + EU AI Act tracking
• Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

📜 License

MIT © CSOAI-ORG

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Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "agent-orchestrator-mcp": {
      "command": "uvx",
      "args": ["agent-orchestrator-mcp"]
    }
  }
}

Or: pip install agent-orchestrator-mcp then run the agent-orchestrator-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

• "Use create_agent to …"
• "Use list_agents to …"
• "Use delegate_task to …"