Skip to main content
Glama
Alpha-Park

genpark-multi-agent-speculative-execution-coordinator-skill

Official
by Alpha-Park

genpark-multi-agent-speculative-execution-coordinator-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies

🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation


🌟 Overview

genpark-multi-agent-speculative-execution-coordinator-skill delivers robust, industrial-grade capabilities engineered for Autonomous Agentic Reasoning, Enterprise Safeguards, and Consumer Commerce Operations. 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.

Multi-Agent Speculative Execution & Early Cancellation Coordinator. Spawns speculative candidate execution paths concurrently, tracks milestone validation scores, and broadcasts early cancellation signals to inferior paths to slash inference overhead.

💡 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: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and Tencent WorkBuddy runtime frameworks.

  • Deterministic & Safe: Cryptographic signature validation, mathematical optimization, and robust error recovery.

  • High Concurrency & Low Latency: In-memory caching, vector clock tracking, and microsecond-level execution latency.


Related MCP server: counterfactual-forge

🚀 Quickstart

1. Direct Python Usage

from client import MultiAgentSpeculativeExecutionCoordinator

client = MultiAgentSpeculativeExecutionCoordinator()
result = client.evaluate_speculative_candidates()
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-multi-agent-speculative-execution-coordinator-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-multi-agent-speculative-execution-coordinator-skill/mcp_server.py"]
    }
  }
}

🛠️ Verification & Testing

Run the included verification suite:

python example_usage.py

📄 License

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

Developed with ❤️ by the GenPark Autonomous Agent Ecosystem Team.

Related MCP Connectors

Related MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables agentic coordination by connecting humans and AI agents through group messaging, project tracking, and milestone management. It provides tools for consensus voting, progress checkpoints, and multi-session collaboration across various agentic platforms.
    32
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to fork plans into counterfactual worlds, score them with rubrics and simulations, detect contradictions, measure regret, and merge a winner with a full audit trail.
    MIT
  • -
    license
    Not graded
    quality
    Not graded
    maintenance
    Enables AI agents to branch, score, prune, and merge conversation strands with provenance and timeline export. Provides MCP tools and resources for managing parallel exploratory strands.
    -