Litellm LLM Proxy Spend TrackingをAIに接続

• 01 / 03APIキーの発行方法
• 02 / 03LLMのコスト管理について
• 03 / 03モデルルーティングを更新する方法

最速日

855ms

最遅日

971ms

14日間の傾向

改善傾向-12%

LiteLLM Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — LiteLLM capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "litellm-llm-proxy-spend-tracking-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_km5X3hHTZMwK6l421yD2vEs8yb47UeU5zl6r4SJ6/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ LiteLLMをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  プラットフォームエンジニア

  グローバルなLLMゲートウェイ構成の管理や、モデルのフォールバックパスの監査を行います。

• 02

  AI Opsチーム

  リアルタイムのAI利用料金を監視し、複数のLLMプロバイダーにわたるチーム予算を調整します。

• 03

  バックエンド開発者

  IDEを離れることなく、新しいマイクロサービス用のサブキー生成やモデルのルーティング確認を行います。

• 01

  How do I connect this MCP to my LiteLLM instance?

  You need to provide your LiteLLM API URL and your Master Key during the Vinkius setup process. Once entered, the connection is ready to use in your AI client.

• 02

  Can I use this with Cursor or VS Code?

  Yes, this MCP works with any MCP-compatible client, including Cursor, Windsurf, and VS Code.

• 03

  How does it help with cost management?

  The MCP allows you to create teams with specific budget limits and query the exact USD spent by any user or team.

• 04

  Can I change model routing without restarting the proxy?

  Yes, you can use the capability to inject new routing endpoints or delete existing ones dynamically.

• 05

  Is it possible to isolate different teams?

  Yes, you can use the create_team capability to establish organizational isolation and track costs per division.

• 06

  Can I check the budget and rate limits for a specific proxy key?

  Yes. Use the get_key_info capability with the specific Key ID. Your agent will retrieve the exact rate limits, budget constraints, and current RPM usage associated with that token.

• 07

  How do I see the model fallback paths configured in my proxy?

  The get_model_info capability allows your agent to extract the global model directory. You'll see the exact fallback chains (e.g., if OpenAI fails, use Anthropic) and the physical endpoints assigned to each model name.

• 08

  Can my agent create a new team to track specific division costs?

  Absolutely. Use the create_team capability and provide a JSON payload defining the team name and optional budget limits. Your agent will provision the new team identity in LiteLLM, allowing for precise organizational cost tracking.

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