HiveCompute MCP Server — decentralized inference router for AI agents
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Scored across 5 tools
Each tool has a distinct purpose: chat for inference, embed for embeddings, estimate_cost for cost estimation, get_usage for usage history, list_models for model discovery. No overlap.
All tools use a consistent 'compute.' prefix followed by a descriptive verb or noun (chat, embed, estimate_cost, get_usage, list_models), forming a clear pattern.
5 tools cover the core operations of a compute service (inference, embeddings, cost estimation, usage tracking, model listing) without being excessive or insufficient.
The tool set covers all essential aspects of the compute domain: running tasks (chat/embed), pre-checking costs (estimate_cost), reviewing activity (get_usage), and discovering options (list_models). No obvious gaps.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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