genpark-agentic-prompt-compression-token-sieve-skill

🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation

🌟 Overview

genpark-agentic-prompt-compression-token-sieve-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.

Dynamic Few-Shot Agentic Prompt Compression & Token Sieve. Compresses multi-turn conversation history, strips verbose boilerplate and filler tokens, retains critical tool parameters and named entities, slashing inference costs by 40-60% deterministically.

💡 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: genpark-agent-session-compaction-tokenizer-skill

🚀 Quickstart

1. Direct Python Usage

from client import AgenticPromptCompressionTokenSieve

client = AgenticPromptCompressionTokenSieve()
result = client.compress_prompt_context()
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-agentic-prompt-compression-token-sieve-skill": {
      "command": "python",
      "args": ["/absolute/path/to/genpark-agentic-prompt-compression-token-sieve-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.