A
licenseNot graded
qualityD
maintenanceEnables evolutionary idea generation using genetic algorithms with LLM workers, multi-objective fitness evaluation, and advanced genetic operations.
1
MIT
Event Horizon MCP Server
by manasp21
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TDQS
A4/5.0
Scored across 5 tools
Disambiguation5/5
Each tool has a clearly distinct purpose in the evolutionary workflow: start_evolution initializes the system, add_solution contributes solutions, score_solution evaluates them, evolve_generation advances to the next generation, and get_evolution_status monitors progress. There is no overlap or ambiguity between these functions.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (e.g., start_evolution, add_solution, score_solution, evolve_generation, get_evolution_status). The naming is uniform, predictable, and clearly describes each tool's action and target.
Tool Count5/5
With 5 tools, the server is well-scoped for its evolutionary solution domain. Each tool earns its place by covering essential steps: initialization, solution management, scoring, evolution, and status tracking. This count is neither too sparse nor bloated.
Completeness5/5
The tool set provides complete coverage of the evolutionary lifecycle: start_evolution sets up the system, add_solution handles solution input, score_solution evaluates them, evolve_generation progresses iterations, and get_evolution_status offers monitoring. There are no obvious gaps for core operations.
Maintenance
ActivityInactive
ResponsivenessNo issues