What is required to run Portkey MCP Server?
You need a Portkey API key set as the `PORTKEY_API_KEY` environment variable and a Node.js runtime.
@r-huijts
基本情報
A Model Context Protocol (MCP) server implementation for the Portkey AI platform, providing a standardized interface for managing AI configurations, workspaces, and analytics.
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": {
"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 AI assistants like Claude to Portkey’s API, enabling comprehensive management of AI configurations, workspaces, analytics, and user access.
Install from source by cloning the repository, running npm install, setting your PORTKEY_API_KEY in a .env file, and adding the server to your Claude Desktop configuration. Alternatively, install automatically via Smithery using npx -y @smithery/cli install @r-huijts/portkey-admin-mcp-server --client claude.
You need a Portkey API key set as the `PORTKEY_API_KEY` environment variable and a Node.js runtime.
Install from source by cloning the repository, running `npm install`, and configuring Claude Desktop, or install automatically via Smithery with `npx -y @smithery/cli install @r-huijts/portkey-admin-mcp-server --client claude`.
It allows management of users, workspaces, API configurations, virtual keys, and analytics/reports, including user invitations, role assignment, and usage tracking.
Yes, the server provides usage analytics, cost analysis, request metrics, and filtered reports based on custom criteria such as status codes, virtual keys, and time ranges.
It is licensed under the ISC License.

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