Allows scanning Amazon order receipts against Amazon's price-protection policy window, verifying eligibility for retroactive price drop refunds, and synthesizing auto-claim refund filing packets.
Allows scanning Target order receipts against Target's price-protection policy window, verifying eligibility for retroactive price drop refunds, and synthesizing auto-claim refund filing packets.
This 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.
Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
AI Agentic Commerce Retroactive Price Drop Refund Claimer. Scans past order receipts against retailer price-protection policy windows (Target, Best Buy, Amazon, Nordstrom), verifies eligibility, and synthesizes auto-claim refund filing packets.
GenPark Official Website: https://www.genpark.ai
LinkedIn Official Page: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
Related MCP server: genpark-agentic-price-drop-refund-arbiter-skill
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.
from client import AgenticPriceDropRefundClaimer
def main():
claimer = AgenticPriceDropRefundClaimer()
purchases = [
{"order_id": "TGT-4481", "merchant": "target", "product_name": "Espresso Machine", "paid_price": 199.99, "live_current_price": 159.99, "days_since_purchase": 6},
{"order_id": "WMT-7712", "merchant": "walmart", "product_name": "Cordless Vacuum", "paid_price": 249.00, "live_current_price": 209.00, "days_since_purchase": 18}
]
res = claimer.evaluate_price_drop_claims(purchases)
print("--- Price Drop Retroactive Claimer ---")
print(f"Total Reclaimable: ${res['total_reclaimable_refund_usd']} across {res['eligible_claims_count']} claims")
for c in res['claims']:
print(f"* [{c['merchant'].upper()}] {c['product_name']}: Refund ${c['price_difference_usd']}")
if __name__ == "__main__":
main()
Start standard JSON-RPC 2.0 server over stdio:
python mcp_server.pyExecute embedded test harness:
python mcp_server.py --testInspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.
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
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