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Portkey MCP Server

@MCP-Mirror

Repository

Basic information

Category

Other

Transports

stdio

Author

MCP-Mirror

About Portkey MCP Server

Mirror of

#portkey#mcp-server#ai-assistant

Portkey MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "r-huijts_portkey-admin-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@r-huijts/portkey-admin-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

Portkey MCP Server tools

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Portkey MCP Server?

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.

How to use Portkey MCP Server?

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.

Key features of Portkey MCP Server

  • User & access management: list, invite, and assign roles.
  • Analytics & reporting: track usage, costs, and request metrics.
  • Workspace management: view, configure, and manage virtual keys.
  • Configuration & API settings: access caching, retries, and routing.
  • Filtered reports based on custom criteria like status codes.

Use cases of Portkey MCP Server

  • “What are my current API usage statistics across different models?”
  • “Show me the performance metrics for my AI deployments.”
  • “Create a new workspace for my team’s project.”
  • “Generate an analytics report for last month’s API calls.”
  • “Configure fallback behavior for my production endpoints.”

Frequently asked questions

1

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.

2

How do I install the Portkey MCP Server?

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.

3

What configuration is required?

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.

4

How do I configure it with Claude Desktop?

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.

5

What can I manage with the Portkey MCP Server?

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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