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
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"r-huijts_portkey-admin-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@r-huijts/portkey-admin-mcp-server",
"--client",
"claude"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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