Intern Iris MCP Server

Running

Connect your AI agent to the Intern Iris agent.

Server Info

MCP Endpoint

https://mcp.pegaenablement.com/mcp

Protocol

Streamable HTTP

Server

mcp-pegaenablement-com v0.1.1

Authentication

API key · Bearer · OAuth 2.0

Setup Instructions

Add to .vscode/mcp.json in your project root:

{
  "servers": {
    "mcp-pegaenablement-com": {
      "type": "http",
      "url": "https://mcp.pegaenablement.com/mcp",
      "headers": { "X-API-Key": "<your-api-key>" }
    }
  }
}

Add to ~/.config/opencode/config.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mcp-pegaenablement-com": {
      "type": "remote",
      "url": "https://mcp.pegaenablement.com/mcp",
      "headers": { "X-API-Key": "<your-api-key>" }
    }
  }
}

Add at user level (available across all your projects):

claude mcp add --transport http --scope user \
  --header "X-API-Key: <your-api-key>" \
  mcp-pegaenablement-com https://mcp.pegaenablement.com/mcp

Verify it was added with claude mcp list.

Any MCP-compatible client works — point it at https://mcp.pegaenablement.com/mcp and send your key in the X-API-Key header.

Available Tools

Intern Iris ask_iris

Intern Iris is a deep researcher and content creator. Ask her a Pega question and she'll dig through documentation, best practices, and knowledge bases to come back with a thorough, well-grounded answer — or to help you create content.

Parameter	Type	Required	Description
context	string	Yes	Background that helps Iris tailor her answer — what you're working on, what you already know, or any relevant details.
question	string	Yes	What you'd like Iris to research or create.

What Next?

Once connected, ask your agent to list available tools — you should see ask_iris. Then try:

Ask Intern Iris: What is Pega?