Agent use cases
Cited playbooks: what an agent can do with the servers in the directory.
142 use cases
Every playbook cites a vendor page and was reviewed before publishing.
| Use case | Category | Effect | Open |
|---|---|---|---|
Analyze customer feedback noise and signalThe user receives a cleaned analysis of customer sentiment, distinguishing genuine user feedback from noise like bots or ads, enabling accurate decision-making. | Data and analysis | Read-only | |
Analyze database schema and run read-only queriesThe agent retrieves the schema of specified tables and executes a read-only SQL query, returning up to 1,000 rows of data without modifying the database. | Data and analysis | Read-only | |
Analyze Earnings Straddle Pricing and IV CrushA detailed assessment of whether an earnings straddle is overpriced relative to historical moves, including the expected IV drop after the report. | Data and analysis | Read-only | |
Analyze Facebook Ad Hook Performance DataA comprehensive report on the effectiveness of various Facebook ad hook patterns, including their frequency, top-tier reach rates, and median estimated spend, enabling data-driven creative decisions. | Data and analysis | Read-only | |
Analyze feature adoption impact on MRR and retentionThe agent calculates the MRR-weighted adoption rate for a newly shipped feature and compares retention metrics between adopters and non-adopters, providing a clear view of the feature's business value. | Data and analysis | Read-only | |
Analyze GA4 Conversion Funnels and TrafficGet a step-by-step breakdown of conversion funnel drop-off rates and measure traffic referred from AI assistants to understand user behavior. | Data and analysis | Read-only | |
Analyze Google Ads performance by device and dayProvides a segmented view of campaign performance across devices (mobile vs desktop) and days of the week, helping users determine which time slots and platforms drive the cheapest conversions. | Data and analysis | Read-only | |
Analyze Google Ads Performance via MCPThe agent retrieves read-only data from the Google Ads MCP server to identify failure modes in AI ad analysis and provide optimization insights without altering account settings. | Data and analysis | Read-only | |
Analyze insider trading activityThe agent provides a summary of Form 4 insider transactions for a specific company since a given date, allowing users to track recent buying or selling activity by company insiders. | Data and analysis | Read-only | |
Analyze institutional capital changes and insider activityA detailed brief explaining which managers drove changes in a stock's institutional ownership, whether insider Form 4 activity corroborates the trend, and the specific SEC filing evidence supporting these findings. | Data and analysis | Read-only | |
Analyze match predictions and head-to-head recordsA comprehensive report on the likely outcome of a specific football match, including win probabilities, historical head-to-head results, and current team form. | Data and analysis | Read-only | |
Analyze options volatility and gamma exposureThe user receives real-time institutional-grade analytics on implied volatility rank, gamma walls, and dealer positioning for specific tickers, enabling data-driven trading decisions without manual charting. | Data and analysis | Read-only |
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Where these playbooks come from
Each playbook is drawn from the vendor page it cites and reviewed by Koskamo before it is published. Koskamo does not run these servers or your agent: check what each tool will do before you let it act on your accounts.
Koskamo reads the example, tutorial, and guide pages that vendors publish for their own MCP servers. A playbook is only drafted when the page says the server can do it, and the supporting quote is shown on every playbook.