genpark-agentic-delegated-escrow-settlement-ledger-skill
OfficialThis server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-agentic-delegated-escrow-settlement-ledger-skill
🌐 GenPark MCP Hub • 📦 GenPark Official • 📖 Documentation
🌟 Overview
genpark-agentic-delegated-escrow-settlement-ledger-skill delivers robust, industrial-grade capabilities engineered for Consumer Agentic Commerce (e.g. Meta Muse, Expedia, Mastercard Agent Connect) and Enterprise Workplace Execution (e.g. Tencent WorkBuddy Goal-to-PPT/Excel deliverable workflows). 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.
Cryptographic Delegated Agentic Commerce Escrow & Settlement Ledger (inspired by Mastercard Agent Connect & Stripe Split-Settlements). Provides multi-party conditional escrow locking, autonomous proof-of-delivery release triggers, referral fee splits, and dispute freeze protection.
💡 Key Capabilities
Zero-Dependency Architecture: Runs anywhere Python 3.9+ is installed without
pip installoverhead or supply-chain vulnerabilities.Model Context Protocol (MCP) First: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and enterprise managed agent runtimes.
Deterministic & Safe: Rigorous state machine models, cryptographic ledger hashes, mathematical dependency graphs, and full telemetry.
High Concurrency & Low Latency: In-memory caching, topological cycle detection, and optimized execution loops.
Related MCP server: hive-mcp-escrow
🚀 Quickstart
1. Direct Python Usage
from client import AgenticDelegatedEscrowSettlementLedger
client = AgenticDelegatedEscrowSettlementLedger()
result = client.create_conditional_escrow()
print(result)2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
python mcp_server.pyVerify standard compliance and self-tests:
python mcp_server.py --test3. Claude Desktop / Cursor MCP Configuration
Add this tool to your claude_desktop_config.json or Cursor MCP settings:
{
"mcpServers": {
"genpark-agentic-delegated-escrow-settlement-ledger-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-agentic-delegated-escrow-settlement-ledger-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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
Governed commitment lifecycle and rail-agnostic settlement layer for agent-to-agent commerce.
Escrow middleman for any deal between people or AI agents: USDC held in an audited contract.
Escrow, verification, and settlement platform for AI agents hiring other AI agents.
Trustless escrow & settlement for A2A transactions: exactly-once state machine, frozen fees, tamper-
Related MCP Servers
- AlicenseNot gradedqualityFmaintenanceEnables AI agents to perform financial transactions such as direct payments, escrows, and bounty management using natural language with zero code integration. It provides a comprehensive suite of tools for fund streaming, subscriptions, and reputation tracking to facilitate secure agent-to-agent commerce.29 npmMIT
- AlicenseNot gradedqualityDmaintenanceMulti-party escrow and settlement for autonomous agent transactions with x402 micropayments and dispute resolution on Base, Ethereum, or Solana.MIT
- MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to autonomously discover services, negotiate binding quotes, make idempotent purchases, and receive cryptographically verifiable deliverables.MIT