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
基本信息
A Model Context Protocol (MCP) server implementation for the Portkey AI platform, providing a standardized interface for managing AI configurations, workspaces, and analytics.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"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 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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