Skip to main content
Glama
genpark-managed-agent-fleet-lifecycle-supervisor-skill

genpark-managed-agent-fleet-lifecycle-supervisor-skill

Official

genpark-managed-agent-fleet-lifecycle-supervisor-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies

🌐 GenPark MCP Hub β€’ πŸ“¦ GenPark Official β€’ πŸ“– Documentation


🌟 Overview

genpark-managed-agent-fleet-lifecycle-supervisor-skill provides industrial-grade capabilities engineered for next-generation Personal Multimodal Agents and Enterprise Workplace Execution. Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native Model Context Protocol (MCP) server or an importable Python module.

Enterprise Managed Agent Fleet Lifecycle Supervisor (inspired by Tencent WorkBuddy & Anthropic Managed Agents). Orchestrates worker agent registration, capability-based task dispatch, continuous heartbeat telemetry, automated circuit breakers, and state checkpoint recovery.

πŸ’‘ Key Capabilities

  • Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without pip install overhead or supply-chain vulnerabilities.

  • Model Context Protocol (MCP) First: Fully compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, Ray-Ban smart glasses, and enterprise agent runtimes.

  • Deterministic & Safe: Structured JSON schemas, cryptographic verification, rigorous boundary validation, and real-time telemetry.

  • High Concurrency & Low Latency: In-memory caching, vectorized math approximations, and robust fault-tolerant state handling.


Related MCP server: sentarion-mcp

πŸš€ Quickstart

1. Direct Python Usage

from client import ManagedAgentFleetLifecycleSupervisor

client = ManagedAgentFleetLifecycleSupervisor()
result = client.register_worker()
print(result)

2. Standalone MCP Server Execution

Run the MCP server via standard JSON-RPC 2.0 stdio:

python mcp_server.py

Verify standard compliance and self-tests:

python mcp_server.py --test

3. Claude Desktop / Cursor MCP Configuration

Add this tool to your claude_desktop_config.json or Cursor MCP settings:

{
  "mcpServers": {
    "genpark-managed-agent-fleet-lifecycle-supervisor-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-managed-agent-fleet-lifecycle-supervisor-skill/mcp_server.py"]
    }
  }
}

πŸ› οΈ Verification & Testing

Run the included verification suite:

python example_usage.py

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

Developed with ❀️ by the GenPark Autonomous Agent Ecosystem Team.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      C
      quality
      A
      maintenance
      Enables governed multi-agent orchestration with pre-dispatch cost estimation, dependency-aware dispatch, and auditable recall, all protected by a fail-closed policy gate.
      13
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Enables orchestrating AI agents by spawning, stopping, and monitoring them, assigning asynchronous tasks, and sharing results via persistent storage.
      14
      MIT
    • A
      license
      C
      quality
      B
      maintenance
      Enables multiple CLI-based AI agents to collaborate as a coordinated team through shared task queues, shared memory, and a message bus, with DAG orchestration, rate-limit avoidance, parallel dispatching, and long-task management.
      63
      3
      MIT