BlindWrite MCP
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- FlicenseNot gradedqualityCmaintenanceEnables adversarial multi-model AI review via OpenRouter, allowing Claude to submit prompts to multiple models and compare responses through custom connector tools.-
- AlicenseBqualityDmaintenanceRoute prompts intelligently across Claude, Gemini, and GPT-4o, automatically picking the best model for every task while minimizing token cost.518 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to route chat completion requests to task-appropriate models via LiteLLM/OpenRouter, track usage and budgets, and run side-by-side eval comparisons of models based on cost, latency, and response quality.MIT
- AlicenseNot gradedqualityDmaintenanceProvides seamless access to 200+ AI models through OpenRouter's unified API, featuring multi-model collaboration, vision support, intelligent benchmarking, and collective intelligence capabilities for enhanced decision-making.119 npm10MIT
- AlicenseAqualityDmaintenanceRoutes tasks to the optimal AI model based on task type and benchmark scores across 25+ platforms. Automatically selects the best model for coding, reasoning, writing, and more using public benchmark data.526 npm1MIT
- AlicenseAqualityBmaintenanceEnables Claude Code to offload bulk tasks to cheap OpenRouter worker models via tiered model selection, parallel batch execution, daily budget caps, and cost logging.3MIT
TDQS
Scored across 11 tools
Most benchmark tools have clearly distinct resource-action boundaries, but benchmark_compare_models, benchmark_get_model_stats, and benchmark_get_leaderboard all describe performance summaries and could be confused by an agent. benchmark_generate_outputs and writer_generate are somewhat related, though writer_generate is explicitly marked as the primary writing tool.
Ten tools consistently follow a benchmark_<verb>_<noun> naming pattern, which is highly predictable. writer_generate breaks the pattern by using noun_verb form and dropping the benchmark_ prefix, making the set slightly inconsistent.
Eleven tools is well-scoped for a blind benchmark workflow plus an integrated writing generation tool. Each tool serves a recognizable step or query in the system, and the count is neither bloated nor thin.
The core benchmark lifecycle is covered: create task, generate outputs, start duel, submit vote, get results, and retrieve leaderboards. Obvious gaps include no list/update/delete for tasks and no way to enumerate active duels, but these are workable minor omissions.