PortkeyをChatGPT、Claude、Geminiに接続

• 01 / 03LLMの遅延をデバッグする方法
• 02 / 03予算ポリシーの適用方法
• 03 / 03ログのエクスポート方法

最速日

720ms

最遅日

995ms

14日間の傾向

安定0%

Portkey 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_BpHtQMK896fkGyepmah9cM552NpibU6fUP5BakNG/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 — Portkey capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "portkey-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_BpHtQMK896fkGyepmah9cM552NpibU6fUP5BakNG/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？ Portkey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

  AIプラットフォームエンジニア

  ゲートウェイの健全性監視やルーティングの最適化を行います。

• 02

  LLMOpsチーム

  モデルのパフォーマンス監視やデプロイメントの管理を担当します。

• 03

  FinOpsアナリスト

  AI利用コストの分析と予算ポリシーの適用を管理します。

• 01

  How do I monitor my LLM costs with this MCP?

  You can ask your AI agent to list recent logs or check specific usage patterns to see token spend and costs.

• 02

  Can I limit spending for specific teams?

  Yes, you can use the agent to create budget policies that restrict usage based on USD or token counts for specific virtual keys.

• 03

  Which AI clients can I use with Portkey?

  You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 04

  Does this work with multiple LLM providers?

  Yes, the Portkey gateway provides unified observability across providers like OpenAI, Anthropic, and Google.

• 05

  How do I debug a specific failed AI request?

  You can use the agent to retrieve detailed information about a specific log entry using its log ID.

• 06

  Which LLM providers does Portkey support?

  Portkey supports 1,600+ LLMs including OpenAI, Anthropic, Google, Mistral, Azure OpenAI, AWS Bedrock, Cohere, Hugging Face, and many more. Use the list_models capability to see the full catalog available via your gateway.

• 07

  How does Portkey help control AI costs?

  Portkey provides granular visibility into token usage, latency, and costs per model, team, or virtual key. You can create budget policies with hard limits to prevent runaway spending. The gateway also supports caching to reduce duplicate calls and fallbacks to cheaper models when appropriate.

• 08

  Can I track feedback on AI responses?

  Yes! Portkey allows you to submit Like/Dislike feedback for any logged LLM call. This data helps improve model selection, evaluate agent performance, and build RLHF datasets for fine-tuning.

• 

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  Datadog AI (LLM Observability) AIコネクタ

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• 

  Humanloop (LLM Prompt Management API) AIコネクタ

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• 

  LiteLLM (LLM Proxy & Spend Tracking) AIコネクタ

  Manage your LLM gateway via LiteLLM — generate API keys, track spending, and orchestrate model fallback paths.

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