Route tasks to Google's Gemini models via local CLI agent. Uses your Google One AI Pro subscription as a fallback when Claude limits are reached, or for tasks benefiting from Gemini's capabilities.
MIT
205,128 tools. Last updated 2026-06-15 15:37
"namespace:io.github.wywy-llc" matching MCP tools:
- Override the last routing decision to correct wrong model choices and record feedback for routing quality improvement.MIT
- Scan workspace files (package.json, README, TODOs) to generate a compact semantic summary for routing context. Call at session start or after major refactors.MIT
- Displays real-time budget pressure across configured AI providers, using pressure bars to indicate quota exhaustion risk and help manage spending.MIT
- Decide whether to proceed with a blocked high-cost AI call by approving, rejecting, or downgrading to a cheaper model.MIT
- Provide feedback on routing decisions to retrain the local classifier and improve model selection over time.MIT
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Corpo MCP Serverofficial
Alicense-qualityCmaintenanceEnables AI agents to explore and prototype Wyoming DAO LLC formation workflows in a sandbox environment.Last updated1MIT- FlicenseBqualityDmaintenanceProvides a universal bridge to interact with any OpenAI-compatible LLM API (local or cloud), enabling model testing, benchmarking, quality evaluation, and chat operations with performance metrics.Last updated8
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Screens public GitHub repos and PRs to generate risk maps, findings, and merge-readiness signals.
GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)
- Routes AI tasks to the best model while tracking cumulative savings across sessions and hosts, even without client-side hooks.MIT
- Send a task to Codex CLI to run non-interactively with OpenAI models, bypassing Claude quota limits.MIT
- Classifies task complexity and routes to the optimal LLM. Uses a cheap classifier to select from budget, balanced, or premium models based on difficulty.MIT
- Fetch the official statutory shareholder roster from government registries. No ownership threshold, supports 27+ jurisdictions.Apache 2.0
- Apply bulk edits across multiple files by generating JSON edit instructions from a natural language task. Use for cross-file refactors and pattern updates.MIT
- Evaluate and benchmark all available models on reasoning and code tasks to determine quality, speed, and accuracy, then optimize routing priorities.MIT
- Converts natural language file search descriptions into glob/grep commands and executes them to locate files.MIT
- Open a local web dashboard to view real-time routing statistics, cost trends, model distribution, and recent decisions from the LLM Router. Refreshes automatically every 30 seconds.MIT
- Assess prompt complexity and token usage to select the best model, adjusting for budget pressure and quality needs.MIT
- Routes your question to the most suitable LLM based on complexity or explicit model choice, balancing cost and capability.MIT
- Save a compact summary of the current session to provide context for future routed model calls, enabling cross-session awareness.MIT
- Routes task prompts to the recommended agent and model by classifying complexity and applying your budget profile, enabling correct session-level setup.MIT
- Automatically decompose complex tasks into multi-step pipelines across multiple LLMs, routing each step to the optimal model. Supports templates for common patterns or auto-decomposition.MIT
- Route coding tasks to the optimal AI model based on complexity for code generation, refactoring, and algorithm design.MIT