Skip to main content
Glama
Alpha-Park

Agentic Escrow Milestone Payout Arbiter

by Alpha-Park
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

genpark-agentic-commerce-dynamic-escrow-milestone-releaser-skill

Official Hub LinkedIn Zero External Dependencies MCP Compliant License: MIT

Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)

Autonomous Agentic Commerce Digital Escrow Milestone Payout Arbiter. Ingests contractual milestone criteria (git PR merge, unit test pass rate >= 90%, lighthouse performance >= 85), verifies cryptographic acceptance proofs, and releases escrow funds.

🌐 Official GenPark AI Ecosystem Links

Related MCP server: RIGForge

🌟 Key Features

  • 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library.

  • Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call.

  • Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.

  • Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

🚀 Quick Start

1. Direct Python SDK Usage

from client import AgenticEscrowMilestonePayoutArbiter

def main():
    arbiter = AgenticEscrowMilestonePayoutArbiter()
    crit = {"min_test_pass_rate_pct": 90.0, "require_pr_merged": True}
    telem = {"test_pass_rate_pct": 98.5, "pr_merged": True, "commit_sha": "a1b2c3d4"}
    res = arbiter.evaluate_milestone_and_release("AGR-CORP-401", 1, 3200.0, crit, telem)
    print("--- Digital Escrow Milestone Arbiter ---")
    print(f"Contract: {res['contract_id']} (Milestone {res['milestone_index']})")
    print(f"Status: {res['payout_status']} | Payout: ${res['released_payout_usd']}")
    print(f"Authorization Token: {res['release_auth_token']}")

if __name__ == "__main__":
    main()

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

python mcp_server.py

Execute embedded test harness:

python mcp_server.py --test

🛠️ MCP Tool Specification

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

📜 License & Community

Licensed under the MIT License. Copyright © 2026 GenPark AI. Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

Related MCP Connectors

Related MCP Servers

  • RIGForge

    mrodgersjs-web
    A
    license
    Not graded
    quality
    A
    maintenance
    MCP server enabling AI coding agents to seal work into cryptographically signed ProofPackets and verify them, catching forged completion claims and enforcing spec-bound acceptance criteria.
    MIT

  • mcp-sentinel

    IronNathanAlvares
    A
    license
    Not graded
    quality
    B
    maintenance
    A continuous, out-of-band trust and reliability layer for the MCP ecosystem. It fingerprints MCP server tool definitions, detects and classifies drift (e.g., rug pulls) via a severity taxonomy, maintains a hash-chained evidence ledger, and gates CI with SARIF—while also acting as an MCP server itself so agents can check a server's safety before binding.
    Apache 2.0

  • approval-gate-mcp

    WillyV347
    A
    license
    Not graded
    quality
    C
    maintenance
    An MCP server that puts a human approval gate in front of long-running autonomous processes, with tools for proposals, process control, logs, parameters, records, and optional EVM balance checks.
    MIT