A
licenseNot graded
qualityB
maintenanceBuying-intent judgement for AI agents: three judges decide whether the author of any post or message is a real buyer, and draft a reply you approve.
873 npm
MIT
Launch Engine
by ZionHopkins
Related Servers
Alternatives to Launch Engine
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to search and retrieve market signals, revenue ideas, and growth tactics from 2,000+ curated entries across 18 sources.-
- AlicenseBqualityDmaintenanceTransforms any prompt into a fully functional, production-ready product with zero human intervention by providing 150+ autonomous tools covering all aspects of software development.331MIT
- AlicenseNot gradedqualityCmaintenanceLocal-first AI agent for approval-gated automation and verifiable LLM workflows.1MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to discover companies showing buying signals, enrich them with public homepage data, score them against custom rules, and draft review-ready briefs.MIT
- AlicenseNot gradedqualityDmaintenanceLocal-first memory, pipelines, learning, feedback, and safe code tools for AI coding agents.MIT
TDQS
B3.1/5.0
Scored across 45 tools
Disambiguation4/5
Most tools have distinct purposes and descriptions that clearly separate them, such as the passive_* and rapid_* groups. Some potential overlap exists (e.g., research vs. market_intel, scout vs. tournament), but descriptions sufficiently differentiate them.
Naming Consistency4/5
Names use consistent snake_case and are descriptive. However, there is a mix of noun-first (e.g., content_engine, market_intel) and verb-first (e.g., build_blocks, save_asset) patterns, which is a minor inconsistency but still predictable.
Tool Count2/5
With 45 tools, the server is overloaded. This far exceeds the typical well-scoped range (3-15) and is likely to overwhelm agents, leading to inefficiency and selection difficulty.
Completeness5/5
The tool set covers the full lifecycle of a marketing launch pipeline from ideation, research, product, content, campaigns, validation, optimization, scaling, to ongoing monitoring and learning. No obvious gaps are present.
Maintenance
ActivityInactive
ResponsivenessNo issues