Agent use cases
Cited playbooks: what an agent can do with the servers in the directory.
201 use cases
Every playbook cites a vendor page and was reviewed before publishing.
| Use case | Category | Effect | Open |
|---|---|---|---|
Analyze top-grossing app onboarding and paywallsA comprehensive analysis of how leading apps structure their onboarding steps, paywall placements, and pricing strategies, enabling data-driven design decisions based on real revenue-generating patterns. | Research and knowledge | Read-only | |
Analyze viral post benchmarksThe user receives a list of high-performing LinkedIn posts related to a specific topic, providing hooks and benchmarks for content creation. | Research and knowledge | Read-only | |
Analyze website AI readinessA score and list of improvements for a website's visibility to AI assistants, including checks on robots.txt, structured data, and llms.txt. | Research and knowledge | Read-only | |
Apply for autonomous AI agent roles via MCPThe agent successfully applies for a specific job role by completing a proof-of-work challenge and submitting the application, receiving a token for further missions. | Research and knowledge | Changes data in your accounts | |
Assess AI recommendation readinessA comprehensive readiness score, tier classification, and prioritized implementation roadmap for integrating AI recommendations into the business. | Research and knowledge | Read-only | |
Assess company AI readiness via AgentScanA public observability report is generated showing an organization's agent readiness, including daily activity, score ranges, and level breakdowns for every check performed. | Research and knowledge | Read-only | |
Assess property due diligence risksA structured JSON report detailing flood, bushfire, and transport hazards for a specific address, enabling informed decision-making without manual source verification. | Research and knowledge | Read-only | |
Audit AI crawler visibility and robots.txt complianceA detailed report on whether AI assistants can access and read the site, including specific issues with robots.txt rules, CDN bot protection, and missing content. | Research and knowledge | Read-only | |
Audit AI Readiness and Crawler AccessA detailed report on how AI assistants perceive the target URL, including crawler permissions, raw text content, structured data, and agent surfaces, along with specific fixes to improve visibility. | Research and knowledge | Read-only | |
Audit AI visibility and crawler access for a URLA detailed report on how AI crawlers perceive the site, including server-rendered content status, schema validity, and access permissions, enabling the user to identify visibility gaps. | Research and knowledge | Read-only | |
Audit Brand Presence in AI AnswersThe user identifies if their brand is cited in AI-generated answers and understands the specific context or snippets used by different AI models. | Research and knowledge | Read-only | |
Audit family tree for errors and duplicatesA comprehensive report identifying missing data, potential duplicate records, and date inconsistencies within the subscriber's family tree, enabling informed decisions on which records to verify or correct. | Research and knowledge | 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.