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Llm Router MCP Server

@ypollak2

リポジトリ

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

トランスポート

stdio

作者

ypollak2

投稿者

Yali Pollak

Llm Router MCP Server について

Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain keeps costs 70–85% lower.

#mcp#gemini#openai#claude#cost-optimization#llm#anthropic#ollama#litellm#llm-router#mcp-server#claude-code#ai-routing#model-router

Llm Router MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "llm-router": {
      "command": "uv",
      "args": [
        "sync",
        "--extra",
        "dev"
      ]
    }
  }
}

Llm Router MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Llm Router?

Llm Router is a local-first model router that intercepts prompts from AI coding tools like Claude Code, Codex, and Gemini CLI and routes them to the cheapest capable model first, falling back automatically. It helps developers save 35–80% on routine prompts, protect premium quota, and avoid workflow interruptions when providers fail.

How to use Llm Router?

Install with pip install llm-routing, then run llm-router install to set up hooks for your coding tool. Optionally configure API keys via environment variables for external providers and verify connectivity with llm-router health. Once set up, the router works automatically in the background; you can also use MCP tools like llm_query for manual routing.

Key features

コメント

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