What does the Portkey MCP Server do?
It transforms your AI assistant into a Portkey platform expert by connecting Claude to Portkey’s API, allowing management of configurations, workspaces, analytics, and user access.
@MCP-Mirror
基本情報
Mirror of
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": {
"r-huijts_portkey-admin-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@r-huijts/portkey-admin-mcp-server",
"--client",
"claude"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Portkey MCP Server connects Claude to Portkey's API, enabling comprehensive management of AI configurations, workspaces, analytics, and user access. It is for administrators and developers who want to control their Portkey platform directly from an AI assistant.
Install the server from source (npm install, copy .env.example, add PORTKEY_API_KEY) or automatically via Smithery (npx -y @smithery/cli install @r-huijts/portkey-admin-mcp-server --client claude). Then configure Claude Desktop’s claude_desktop_config.json with the server command (node /path/to/build/index.js) and environment variable. Restart Claude to apply.
It transforms your AI assistant into a Portkey platform expert by connecting Claude to Portkey’s API, allowing management of configurations, workspaces, analytics, and user access.
You can install it from source by cloning the repository, running `npm install`, copying `.env.example` to `.env`, and adding your Portkey API key. Alternatively, install via Smithery using the provided CLI command.
You must provide your Portkey API key via the `PORTKEY_API_KEY` environment variable, either in a `.env` file or directly in the Claude Desktop configuration’s `env` section.
Edit the `claude_desktop_config.json` file to add a `mcpServers` entry with the server command (`node /path/to/build/index.js`) and the environment variable `PORTKEY_API_KEY`, then restart Claude Desktop.
You can manage users and invitations, view analytics and cost data, oversee workspaces and virtual keys, and inspect configurations like cache settings and retry policies.
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