Personal Agent Subscription Zombie Pruner
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., "@Personal Agent Subscription Zombie PrunerAudit my subscriptions, flag dormant charges, and forecast 5-year savings"
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.
genpark-personal-agent-subscription-zombie-pruner-skill
GenPark Personal Agent Subscription Zombie Pruner audits recurring personal SaaS and streaming charges using cost-per-use economics and compound future value modeling.
flowchart TD
A[Recurring Subscription Ledger & Usage Logs] --> B[Cost-Per-Use CPU Calculator]
B --> C[Zombie Dormancy Filter (Days Inactive > 45)]
C --> D[Immediate Annual Reclaimable Capital]
D --> E[5-Year Compound S&P 500 Wealth Forecaster]
E --> F[Fiduciary Cancellation Action Plan]Features
Cost-Per-Use Valuation: Unveils the true economic price per interaction across all recurring services.
Zombie Drain Detection: Flags services burning monthly cash without user engagement.
Compound Wealth Forecast: Shows how reinvesting canceled fees compounds into substantial capital.
Related MCP server: SpendPilot
Quickstart
from client import PersonalAgentSubscriptionZombiePruner
pruner = PersonalAgentSubscriptionZombiePruner()
res = pruner.project_subscription_drag_and_compound_savings(65.0)
print("Compounded Savings:", res["total_reclaimed_wealth_future_value_usd"])FastMCP Integration
python -m genpark-personal-agent-subscription-zombie-pruner-skill.mcp_serverLicense
MIT
This server cannot be deployed
Maintenance
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Track, analyze, and act on your streaming and SaaS subscriptions from any AI agent.
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