Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@genpark-agentic-supply-chain-bullwhip-dampener-skill Compute dampened reorder for SKU-9901-PREMIUM with 110 in stock and 7-day lead time."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
AI Supply Chain & Commerce Bullwhip Effect Dampener. Applies safety stock PID dampening, order surge smoothing, and lead-time demand volatility filtering to eliminate inventory whipsawing across multi-tier supplier networks.
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: forecast-mcp
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 AgenticSupplyChainBullwhipDampener
def main():
dampener = AgenticSupplyChainBullwhipDampener()
orders = [45, 50, 48, 52, 49, 120]
res = dampener.compute_dampened_reorder_quantity("SKU-9901-PREMIUM", current_inventory=110, recent_order_history=orders, lead_time_days=7)
print("--- Supply Chain Bullwhip Dampener ---")
print(f"SKU: {res['sku_id']} | Surge Ratio: {res['surge_ratio_detected']}x")
print(f"Damping Factor Applied: {res['bullwhip_damping_factor']}")
print(f"Recommended Replenishment: {res['recommended_order_units']} units")
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
This server cannot be deployed
Find the cash trapped in your inventory, then size reorder points, safety stock and EOQ.
Read-only supply-chain decision support: forecasting, reorder policies, ABC-XYZ, data quality.
Inventory reorder plans from SKU sales, stock and lead times. $19 a run, paid by card.
Safety-stock & reorder planning, FBA-vs-FBM decision, and inventory health audit for sellers
